#High-Performance Computing HPC as a Service Market Size

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Server Accelerator Market 2025-2032

MARKET INSIGHTS

The global Server Accelerator Market size was valued at US$ 8.94 billion in 2024 and is projected to reach US$ 16.72 billion by 2032, at a CAGR of 9.4% during the forecast period 2025-2032. The U.S. market accounted for 35% of global revenue in 2024, while China is expected to witness the fastest growth at 18.3% CAGR through 2032.

Server accelerators are specialized hardware components designed to enhance computational performance in data center environments. These solutions offload and accelerate specific workloads from central processors (CPUs), including artificial intelligence (AI) training, high-performance computing (HPC), and data analytics. The market encompasses multiple accelerator types such as GPUs, FPGAs, ASICs, and emerging architectures like TPUs, each optimized for different computational paradigms.

The market growth is primarily driven by three key factors: explosive demand for AI infrastructure, increasing hyperscale data center deployments, and energy efficiency requirements. Cloud service providers are accounting for over 60% of accelerator deployments as of 2024. Recent technological breakthroughs include NVIDIA’s H100 Tensor Core GPU achieving 4x performance gains over previous generations, while AMD’s acquisition of Xilinx has strengthened its FPGA offerings for adaptive computing workloads.

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Key Industry Players

Technological Innovation Drives Market Consolidation Among Leading Players

The server accelerator market exhibits a moderately concentrated competitive structure dominated by semiconductor giants and specialized hardware innovators. Nvidia currently leads the GPU accelerator segment with its 48% market share in 2024, benefiting from its A100 and H100 Tensor Core GPUs that dominate AI training workloads. The company’s CUDA architecture continues to set industry standards, with its latest Blackwell platform expected to further solidify this position.

Close competitors like AMD (including Xilinx) and Intel collectively hold 35% market share through their Versal adaptive SoCs and Habana Gaudi accelerators respectively. AMD’s acquisition of Xilinx significantly strengthened its FPGA capabilities, while Intel’s oneAPI strategy aims to unify programming across CPU, GPU, and accelerator architectures.

Emerging players demonstrate notable traction in specialized segments. Graphcore has carved a niche in AI-specific IPUs (Intelligence Processing Units), particularly for large language model training, while Achronix Semiconductor gains momentum with its 7nm Speedster FPGAs optimized for high-throughput workloads. These innovators collectively capture 12% market share as enterprises diversify accelerator portfolios.

The competitive intensity increased in 2024 with multiple strategic developments:

NVIDIA launched Grace Hopper superchips combining ARM CPUs with H100 GPUs

AMD expanded its Alveo FPGA accelerator portfolio for financial services

Intel unveiled its Falcon Shores XPU architecture combining GPU and AI acceleration

List of Key Server Accelerator Companies Profiled

Intel Corporation (U.S.)

Nvidia Corporation (U.S.)

Advanced Micro Devices (AMD/Xilinx) (U.S.)

Graphcore Ltd. (UK)

Microchip Technology Inc. (U.S.)

Qualcomm Technologies (U.S.)

Achronix Semiconductor Corporation (U.S.)

PANGO MICROSYSTEMS (China)

Recent industry movements suggest increasing vertical integration, with cloud providers like AWS developing custom silicon (Trainium/Inferentia chips) that could reshape the competitive dynamics. However, standalone accelerator vendors maintain advantages in flexibility and workload optimization across hybrid cloud environments.

By Type

GPU Segment Leads the Market Owing to High Demand in AI and Deep Learning Workloads

The market is segmented based on type into:

GPU

CPU

FPGA

ASIC

TPU

By Application

Hyperscale Data Centers Drive Market Growth Due to Cloud Computing Expansion and Big Data Processing Needs

The market is segmented based on application into:

Small & Medium Data Centers

Large Data Centers

Hyperscale Data Centers

By Technology

AI-Optimized Accelerators Show Strong Potential Due to Rising Enterprise AI Adoption

The market is segmented by technology into:

Traditional Accelerators

AI-Optimized Accelerators

Hybrid Accelerators

By End-User Industry

IT & Telecommunications Sector Contributes Significantly Due to 5G Deployment and Edge Computing Needs

The market is segmented by end-user industry into:

IT & Telecommunications

BFSI

Healthcare

Government

Others

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FREQUENTLY ASKED QUESTIONS:

What is the current market size of Global Server Accelerator Market?

-> The global Server Accelerator Market size was valued at US$ 8.94 billion in 2024 and is projected to reach US$ 16.72 billion by 2032, at a CAGR of 9.4% during the forecast period 2025-2032.

Which key companies operate in Global Server Accelerator Market?

-> Key players include Intel, Nvidia, AMD (Xilinx), Graphcore, Microchip, Qualcomm, Achronix Semiconductor, and PANGO MICROSYSTEMS, among others.

What are the key growth drivers?

-> Key growth drivers include rising demand for AI/ML workloads, expansion of hyperscale data centers, and increasing adoption of cloud computing services.

Which region dominates the market?

-> North America currently leads the market, while Asia-Pacific is projected to witness the fastest growth during the forecast period.

What are the emerging trends?

-> Emerging trends include heterogeneous computing architectures, advanced packaging technologies, and energy-efficient accelerator designs.

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Liquid Cooling for Data Center Market Growth Analysis, Market 2025

The global Liquid Cooling for Data Center market was valued at approximately USD 1,982 million in 2023, and it is projected to reach USD 11,101.99 million by 2032, reflecting a robust CAGR of 21.10% during the forecast period. This rapid growth trajectory is attributed to the increasing need for efficient thermal management in data centers, especially as organizations adopt AI, IoT, and other data-intensive technologies.

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Liquid cooling for data centers refers to the use of liquid-based technologies typically water or specialized coolants to absorb and dissipate heat generated by high-performance computing (HPC) systems, servers, storage devices, and networking hardware. The global liquid cooling for data centre market is experiencing rapid growth as hyperscale and enterprise data centres face increasing demands for high performance and energy efficiency. Traditional air cooling methods are struggling to manage the heat generated by high-density computing workloads, especially with the rise of AI, machine learning, and high-performance computing (HPC). As a result, liquid cooling technologies such as direct-to-chip and immersion cooling are gaining traction due to their ability to reduce power usage effectiveness (PUE) and support sustainable operations.

For instance, Meta announced plans to deploy immersion cooling technologies across select data centres to reduce energy consumption and carbon footprint highlighting a shift toward environmentally conscious infrastructure.

Market Size

Global Liquid Cooling for Data Center Market Size and Forecast

In North America, the market was estimated at USD 720.15 million in 2023 and is anticipated to expand at a CAGR of 18.09% from 2025 through 2032. The United States leads the regional market due to the presence of numerous hyperscale data centers and cloud service providers.

The market expansion is also supported by growing investments in green data center infrastructure, along with regulatory mandates aimed at improving energy efficiency and reducing greenhouse gas emissions. The long-term outlook for the liquid cooling market is promising, with continued innovation and adoption of advanced technologies across the globe.

Market Dynamics (Drivers, Restraints, Opportunities, and Challenges)

Drivers

Rising Data Processing Demands Are Driving the Shift to Liquid Cooling

The rise in data processing demands, especially from AI, big data analytics, and high-performance computing (HPC), is one of the main factors propelling the expansion of liquid cooling in data centers. Compared to conventional applications, these workloads produce a lot more heat, which makes air cooling ineffective and expensive. Liquid cooling technologies such as direct-to-chip and immersion cooling offer up to 1,000 times greater heat dissipation efficiency than air-based systems.

For instance, Intel and Submer collaborated to implement next-generation immersion cooling in Intel's data centers, claiming better thermal performance for AI workloads and lower energy consumption. This is in line with a larger trend in the industry, where liquid cooling is being used more and more by hyperscale data centers to preserve operational stability and satisfy ESG objectives.

Restraints

High Initial Investment and Infrastructure Complexity Limit Adoption

Despite its benefits, the high initial cost and difficulty of integrating these systems into the current data center infrastructure pose serious barriers to the widespread use of liquid cooling technologies. Large-scale server rack, plumbing, and safety system redesigns are frequently necessary when retrofitting legacy buildings with liquid cooling, which can interfere with ongoing operations and raise the risk of downtime.For instance, many small to medium-sized data centre operators hesitate to adopt liquid cooling because the costs and operational challenges outweigh the immediate benefits, slowing widespread market penetration.

Opportunities

Growing Demand from Hyperscale Data Centres

A major growth opportunity for the liquid cooling market is the quick development of hyperscale data centers, which are being fueled by cloud computing giants like Microsoft Azure, Google Cloud, and Amazon Web Services. To handle the excessive heat loads produced by dense server configurations, these facilities need cooling solutions that are both scalable and extremely efficient.One efficient method for raising energy efficiency and lowering operating expenses on a large scale is liquid cooling.Moreover the growing demand for high-performance computing and AI workloads has led to significant investments in liquid cooling technologies. Companies are forming strategic partnerships to enhance cooling efficiency and reduce environmental impact.

For instance, in May 2025, Microsoft and NVIDIA announced a collaboration to integrate NVIDIA's next-generation GPUs with Microsoft's liquid cooling systems. This partnership aims to optimize AI workloads by providing efficient thermal management solutions. The integration is expected to enhance computational performance while maintaining energy efficiency.

Challenges

Lack of Industry Standards and Interoperability Slows Adoption

The absence of unified industry standards and interoperability frameworks for liquid cooling systems presents a significant challenge. Data centre operators often deal with proprietary solutions that lack compatibility with diverse server hardware, which complicates integration and raises vendor lock-in concerns.For example, while companies like Submer, LiquidStack, and Vertiv offer cutting-edge immersion and direct-to-chip solutions, their systems can differ widely in design, connector types, and thermal interface materials. This fragmentation makes it difficult for operators to scale or transition between providers without major redesigns.

According to a survey by Castrol, For the industry to continue seeing performance gains, experts predict that immersion cooling must be implemented within the next three years. Those who don't do this run the risk of lagging behind competitors at a time when data centers are under a lot of strain due to AI surges.

Regional Analysis

Market Trends by Region

North America remains at the forefront of adopting liquid cooling technologies, primarily driven by the escalating demands of AI and high-performance computing workloads. Meta has initiated a transition to direct-to-chip liquid cooling for its AI infrastructure, aiming to enhance energy efficiency and support higher-density computing. Europe is witnessing significant advancements, propelled by stringent sustainability goals and innovative collaborations. In Germany, Equinix has partnered with local entities to channel excess heat from its Frankfurt data centres into a district heating system, set to supply approximately 1,000 households starting in 2025. Similarly, in the Netherlands, Equinix signed a letter of intent with the Municipality of Diemen to explore utilizing residual heat from its AM4 data centre to support local heating needs.Asia-Pacific is emerging as a dynamic market for liquid cooling solutions. In Japan, NTT Communications, in collaboration with Mitsubishi Heavy Industries and NEC, commenced a demonstration of two-phase direct-to-chip cooling in an operational Tokyo data centre. This initiative aims to enhance cooling capacity without significant modifications to existing facilities, aligning with energy-saving and CO₂ reduction goals.South America's data centre market is experiencing significant growth, driven by the increasing adoption of cloud services, digital transformation initiatives, and a focus on sustainable infrastructure.Amazon Web Services (AWS) announced a $4 billion investment to establish its first data centres in Chile, marking its third cloud region in Latin America after Brazil and Mexico.The MEA region is witnessing a surge in data centre developments, fueled by digital transformation, increased internet penetration, and government initiatives promoting technological advancement

Competitor Analysis 

Major Players and Market Landscape

The Liquid Cooling for Data Center market is moderately consolidated with several global and regional players competing based on product innovation, energy efficiency, scalability, and reliability.

Key players include:

Vertiv: Offers integrated liquid cooling systems with scalable modularity.

Stulz: Specializes in precision cooling and modular cooling technologies.

CoolIT Systems: Known for direct-to-chip liquid cooling.

Schneider Electric: Provides EcoStruxure cooling systems for high-density environments.

Submer and Green Revolution Cooling: Leaders in immersion cooling solutions.

Most companies are focusing on partnerships, R&D investments, and strategic acquisitions to strengthen their market position and expand their product portfolios.

2025, Intel advanced its Superfluid cooling technology, utilizing microbubble injection and dielectric fluids to improve heat transfer. This innovation supports Nvidia's megawatt-class rack servers, addressing the thermal demands of high-performance AI infrastructures.

October 2024,Schneider Electric agreed to buy a majority share in Motivair Corp.for about USD 850 million, a leader in liquid cooling for high-performance computing. By taking this action, Schneider Electric hopes to improve its standing in the data center cooling industry.

December 2024, Vertiv acquired BiXin Energy (China), specializing in centrifugal chiller technology, enhancing Vertiv's capabilities in high-performance computing and AI cooling solutions.

December 2023,Equinix, Inc.​​​​​​​a global digital infrastructure company, announced plans to extend support for cutting-edge liquid cooling technologies, such as direct-to-chip, to over 100 of its International Business Exchange® (IBX®) data centers located in over 45 metropolitan areas worldwide.

December 2023, Vertiv expanded its portfolio of cutting-edge cooling technologies with the acquisition of CoolTera Ltd (UK), a business specializing in liquid cooling infrastructure solutions.

Global Liquid Cooling for Data Center Market: Market Segmentation Analysis

This report provides a deep insight into the global Liquid Cooling for Data Center Market, covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.

The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and assessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Liquid Cooling for Data Center Market. This report introduces in detail the market share, market performance, product situation, operation situation, etc., of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.

In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Liquid Cooling for Data Center Market in any manner.

Market Segmentation (by Cooling Type)

Direct-to-Chip (Cold Plate) Cooling

Immersion Cooling

Other Liquid Cooling Solutions

Market Segmentation (by Data Center Type)

Hyperscale Data Centers

Enterprise Data Centers

Colocation Providers

Modular/Edge Data Centers

Cloud Providers

Market Segmentation (by End Use Industry)

IT & Telecom

BFSI (Banking, Financial Services, and Insurance)

Healthcare

Government & Defense

Energy & Utilities

Manufacturing

Cloud & Hyperscale Providers

Others

Key Company

Vertiv

Stulz

Midas Immersion Cooling

Rittal

Envicool

CoolIT

Schneider Electric

Sugon

Submer

Huawei

Green Revolution Cooling

Eco-atlas

Geographic Segmentation

North America (USA, Canada, Mexico)

Europe (Germany, UK, France, Russia, Italy, Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)

South America (Brazil, Argentina, Columbia, Rest of South America)

The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

FAQs : 

▶ What is the current market size of the Liquid Cooling for Data Center Market?

As of 2023, the global Liquid Cooling for Data Center market was valued at approximately USD 1,982 million.

▶ Which are the key companies operating in the Liquid Cooling for Data Center Market?

Major players include Vertiv, Stulz, CoolIT Systems, Schneider Electric, Submer, Huawei, and Green Revolution Cooling, among others.

▶ What are the key growth drivers in the Liquid Cooling for Data Center Market?

Key growth drivers include rising power densities in data centers, the demand for energy-efficient solutions, and the growing deployment of AI and HPC applications.

▶ Which regions dominate the Liquid Cooling for Data Center Market?

North America currently leads the market, followed by Europe and Asia-Pacific. Asia-Pacific is expected to witness the fastest growth in the forecast period.

▶ What are the emerging trends in the Liquid Cooling for Data Center Market?

Emerging trends include the growing adoption of immersion cooling, development of sustainable coolant technologies, and integration of AI-based monitoring systems for thermal management.

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High-Performance Computing Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Powering Advanced Scientific Research

High-Performance Computing Market was worth USD 47.07 billion in 2023 and is predicted to be worth USD 92.33 billion by 2032, growing at a CAGR of 7.80 % between 2024 and 2032.

High-Performance Computing Market is undergoing a dynamic transformation as industries across the globe embrace data-intensive workloads. From scientific research to financial modeling, the demand for faster computation, real-time analytics, and simulation is fueling the rapid adoption of high-performance computing (HPC) systems. Enterprises are increasingly leveraging HPC to gain a competitive edge, improve decision-making, and drive innovation.

High-Performance Computing Market is also seeing a notable rise in demand due to emerging technologies such as AI, machine learning, and big data. As these technologies become more integral to business operations, the infrastructure supporting them must evolve. HPC delivers the scalability and speed necessary to process large datasets and execute complex algorithms efficiently.

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Market Keyplayers:

NEC Corporation

Hewlett Packard Enterprise

Sugon Information Industry Co. Ltd

Intel Corporation

International Business Machines Corporation

Market Analysis

The HPC market is characterized by strong investment from both government and private sectors aiming to enhance computational capabilities. Healthcare, defense, automotive, and academic research are key segments contributing to the rising adoption of HPC. The proliferation of cloud-based HPC and integration with AI are redefining how organizations manage and process data.

Market Trends

Increasing integration of AI and ML with HPC systems

Growing popularity of cloud-based HPC services

Shift towards energy-efficient supercomputing solutions

Rise in demand from genomics, climate modeling, and drug discovery

Accelerated development in quantum computing supporting HPC evolution

Market Scope

The potential for HPC market expansion is extensive and continues to broaden across industries:

Healthcare innovations powered by HPC-driven diagnostics and genomics

Smart manufacturing leveraging real-time data analysis and simulation

Financial analytics enhanced by rapid processing and modeling

Scientific research accelerated through advanced simulation tools

Government initiatives supporting HPC infrastructure development

These evolving sectors are not only demanding more robust computing power but also fostering an ecosystem that thrives on speed, accuracy, and performance, reinforcing HPC's pivotal role in digital transformation.

Market Forecast

The future of the HPC market holds promising advancements shaped by continuous innovation, strategic partnerships, and increased accessibility. As industries push for faster processing and deeper insights, HPC will be central in meeting these demands. The convergence of HPC with emerging technologies such as edge computing and 5G will unlock new possibilities, transforming how industries analyze data, forecast outcomes, and deploy intelligent systems. The market is poised for exponential growth, with cloud solutions, scalable architectures, and hybrid models becoming the norm.

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Conclusion

The High-Performance Computing Market is more than a technological trend—it is the backbone of a data-driven future. As industries demand faster insights and smarter decisions, HPC stands as a transformative force bridging innovation with execution. Stakeholders ready to invest in HPC are not just adopting new tools; they are stepping into a future where speed, intelligence, and precision define success.

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Future of GPU As A Service Market: Trends and Forecast

The global GPU as a Service (GPUaaS) market is projected to reach USD 12.26 billion by 2030, growing at a CAGR of 22.9% from 2025 to 2030, according to a recent report by Grand View Research, Inc. This growth is being largely fueled by the increasing deployment of Artificial Intelligence (AI) and Machine Learning (ML) technologies across a wide range of industries. These technologies require extensive computational resources, a demand that Graphics Processing Units (GPUs) are well-equipped to meet. GPUaaS offers users the advantage of scalability, enabling them to adjust computing power in alignment with project-specific needs. As a result, demand for GPUaaS is rising in tandem with the broader adoption of AI and ML.

The rapid expansion of cloud computing has further accelerated the growth of GPUaaS. Leading cloud service providers are offering GPU-powered virtual machines to support tasks such as deep learning, data processing, graphics rendering, and scientific computing. These services democratize access to powerful computing capabilities, making high-performance GPUs available to users who may not be able to afford or manage on-premise hardware. For example, Amazon Web Services (AWS) delivers a range of GPU instances through its Amazon EC2 platform, designed to support varying computational requirements.

GPUaaS gives users—whether enterprises or individual developers—the flexibility to scale their GPU usage dynamically, adapting to different workload demands. This elasticity is especially attractive for organizations with fluctuating or project-based GPU needs. Google Cloud Platform (GCP) exemplifies this flexibility by offering high-performance GPU instances such as NVIDIA A100 Tensor Core GPUs, which are built on the NVIDIA Ampere architecture. These GPUs provide significant performance gains, particularly for AI, ML, and high-performance computing (HPC) workloads.

North America leads the market in terms of revenue generation. The region’s strong emphasis on digital transformation, particularly among enterprise sectors, makes GPUaaS a strategic asset in deploying AI and big data technologies. North America plays a critical role in the global cloud ecosystem, with increasing investments in infrastructure to support GPU-intensive operations.

On the other hand, the Asia Pacific region is anticipated to be the fastest-growing market over the forecast period. This growth is attributed to the region’s proactive adoption of emerging technologies, with countries like China, India, Japan, South Korea, Australia, and Singapore leading the way. Their investments in AI research, smart cities, and digital platforms continue to fuel the demand for scalable GPU resources.

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GPU as a Service (GPUaaS) Market: Frequently Asked Questions

1. What is the expected size of the GPUaaS market by 2030?

The global GPUaaS market is projected to reach USD 12.26 billion by 2030, growing at a CAGR of 22.9% from 2025 to 2030.

2. What’s driving the demand for GPUaaS?

Rising adoption of AI and ML, increasing data volumes, demand for flexible cloud computing solutions, and growing use of GPU-accelerated applications across industries.

3. What are the benefits of GPUaaS?

• Scalability on demand

• Cost-efficiency

• Easy integration with AI and data analytics tools

• Faster time-to-market for compute-heavy applications

4. Which industries benefit most from GPUaaS?

Key sectors include:

• Healthcare (medical imaging, genomics)

• Finance (fraud detection, algorithmic trading)

• Automotive (autonomous vehicle training)

• Entertainment (3D rendering, VFX)

• Research & academia

5. Which region leads the GPUaaS market?

North America is the largest market, driven by strong cloud infrastructure, tech adoption, and enterprise digital transformation efforts

6. Which region is expected to grow the fastest?

Asia Pacific is anticipated to grow rapidly due to aggressive investment in emerging tech by countries like China, India, Japan, and South Korea.

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In-Memory Computing Chips: The Next Big Thing? Market to Hit $12.4B by 2034

In-Memory Computing Chips Market is experiencing rapid growth as industries demand faster data processing, real-time analytics, and energy-efficient computing. Unlike traditional architectures, in-memory computing chips store and process data in the same location, eliminating latency and dramatically improving performance. This breakthrough technology is transforming industries such as AI, big data, edge computing, healthcare, finance, and autonomous systems.

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Why In-Memory Computing Chips?

✅ Accelerate AI & machine learning applications ✅ Enable real-time big data analytics ✅ Reduce power consumption & latency ✅ Optimize cloud computing & edge AI

Market Growth Drivers:

📈 Growing demand for AI-driven computing & deep learning 📈 Expansion of IoT, 5G, and high-performance computing (HPC) 📈 Rising need for energy-efficient data centers & cloud infrastructure 📈 Advancements in neuromorphic and resistive RAM (ReRAM) technologies

The global in-memory computing chips market is set to expand, with major tech giants and startups investing in AI accelerators, neuromorphic computing, and next-gen memory architectures. As AI, blockchain, and real-time analytics continue to evolve, in-memory computing is emerging as a critical enabler of high-speed, low-latency processing.

With quantum computing and edge AI pushing the limits of traditional computing, in-memory computing chips are paving the way for a faster, smarter, and more efficient digital future.

What are your thoughts on in-memory computing? Let’s discuss! 👇

#InMemoryComputing #AIAccelerators #EdgeAI #HighPerformanceComputing #BigData #RealTimeAnalytics #CloudComputing #MachineLearning #ArtificialIntelligence #NeuromorphicComputing #NextGenChips #TechInnovation #AIChips #DataProcessing #DeepLearning #IoT #5G #QuantumComputing #SmartComputing #ChipTechnology #EnergyEfficientTech #HPC #DataCenters #ReRAM #CloudAI #AIHardware #FutureOfComputing #FastProcessing #LowLatency #NextGenMemory 🚀

Research Scope:

· Estimates and forecast the overall market size for the total market, across type, application, and region

· Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling

· Identify factors influencing market growth and challenges, opportunities, drivers, and restraints

· Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates

· Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities

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Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

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Immersion Cooling Market Analysis, Demand, Report 2023-2030

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated Global Immersion Cooling Market size at USD 780 million in 2023.During the forecast period between 2024 and 2030, BlueWeave expects Global Immersion Cooling Market size to boom at a robust CAGR of 24.20% reaching a value of USD 3,311.60 million by 2030. Global Immersion Cooling Market is driven by a growing demand for energy-efficient cooling solutions in data centers to reduce power consumption and carbon footprints. Increasing adoption of high-performance computing (HPC), AI, and blockchain technologies generates immense heat, necessitating advanced cooling methods. Rising data center construction, particularly in regions with harsh climates, further boosts demand. Additionally, immersion cooling offers benefits like reduced operational costs, improved server lifespan, and enhanced performance, driving its adoption across industries globally.

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Opportunity - Increasing Adoption in High-Performance Computing (HPC)

Global Immersion Cooling Market is expected to be driven by its increasing adoption in High-Performance Computing (HPC) applications. HPC systems require efficient cooling solutions to handle extreme heat generated by advanced processors and GPUs. Immersion cooling offers superior thermal management, reducing energy consumption and improving system performance. Industries like data centers, artificial intelligence, and scientific research are accelerating the adoption of HPC, boosting demand for immersion cooling solutions. The shift enhances operational efficiency and sustainability. It, in turn, is expected to boost the growth of Global Immersion Cooling Market in the coming years.

Impact of Escalating Geopolitical Tensions on Global Immersion Cooling Market  

Escalating geopolitical tensions could disrupt Global Immersion Cooling Market by impacting supply chains, particularly for critical components like heat exchangers, coolants, and semiconductors. Trade restrictions, sanctions, and rising energy costs may hinder production and increase prices. Additionally, regional instabilities could delay investments in infrastructure developments and data center expansions. However, heightened energy security concerns could drive the adoption of energy-efficient technologies like immersion cooling, particularly in regions aiming to reduce dependence on unstable energy supplies and achieve sustainable operations.

High-Performance Computing (HPC) Segment Leads Global Immersion Cooling Market  

The high-performance computing (HPC) segment holds the largest share of Global Immersion Cooling Market. Immersion cooling is extensively adopted in HPC applications because of its superior capability to handle the significant heat output produced by advanced computing systems. These systems, which are commonly found in data centers and research facilities, leverage immersion cooling to enhance performance, minimize energy usage, and lower cooling expenses. The segment's growth is primarily fueled by the rising need for faster and more powerful computational systems.

Competitive Landscape

Global Immersion Cooling Market is fiercely competitive, with numerous companies vying for a larger market share. Major companies in the market include Green Revolution Cooling (GRC), Submer, LiquidStack, Asperitas, Midas Immersion Cooling, Iceotope Technologies, LiquidCool Solutions, DUG Technology, DCX - The Liquid Cooling Company, Engineered Fluids, TIEMMERS, and TMGcore. These companies use various strategies, including increasing investments in their R&D activities, mergers, and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in Global Immersion Cooling Market.

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Data Center Accelerator Market Analysis: Meeting the Demand for Real-Time Data Processing

The global data center accelerator market size is anticipated to reach USD 63.22 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 24.7% from 2025 to 2030. The demand for data center accelerators is likely to grow owing to increasing adoption of technologies such as AI, IoT, & big data analytics. The COVID-19 pandemic had a positive impact on the data center accelerator market. Factors such as increased corporate awareness of the advantages that cloud services can offer, increased board pressure to provide more secure & robust IT environments, as well as the establishment of local data centers contributed to the growth of data center accelerators. Demand for businesses that rely on digital infrastructure has increased, which has led to significant growth in demand for data center network services in many industries. Data centers are now maintaining program availability and data security as more businesses and educational institutions already moved online.

Top industries using HPC are healthcare, manufacturing aerospace, urban planning, and finance. The University of Texas at Austin researchers are advancing the science of cancer treatment through the use of HPC. In a ground-breaking 2017 project, researchers examined petabytes of data to look for connections between the genomes of cancer patients and the characteristics of their tumors. This paved the way for the university to apply HPC in additional cancer research, which has now expanded to include efforts to diagnose and treat cases of prostate, blood-related, liver, and skin cancers.

Data Center Accelerator Market Report Highlights

Based on processor, the GPU segment accounted for the maximum revenue share of 44% in 2024. This can be attributed to the increasing use of GPU acceleration in IoT computing, bitcoin mining, AI and machine learning, etc. Moreover, GPU acceleration’s parallel processing architecture is useful in life science analytics such as a genome sequencing.

Based on type, the HPC data center segment is expected to grow at the highest CAGR of 26.0% over the forecast period. This can be attributed to a rising preference for hybrid and cloud-based high performance computing (HPC) solutions, use of HPC in vaccine development, advances in virtualization, etc.

Based on application, the deep learning training segment dominated the market in 2024. This can be attributed to increasing adoption of deep learning in hybrid model integration, self-supervised learning, high performance natural language process (NLP) models, and neuroscience based deep learning.

North America held the largest share of 37.0% in 2024 and is expected to retain its position over the forecast period. Presence of several data center accelerator solution and service providers makes North America a promising region for the market.

Asia Pacific is anticipated to expand at the highest CAGR of over 27.8% over the forecast period. Suitable government policies and the need for data center infrastructure upgradation in Asia Pacific are driving the growth of the data center accelerator market in the region.

In October 2020 Intel Corporation launched Intel Xeon Scalable Platform to assist secure sensitive workloads. This platform has new features that include Intel Platform Firmware Resilience (Intel PFR), Intel Total Memory Encryption (Intel TME), and new cryptographic accelerators to support the platform and advance the overall integrity and confidentiality of data.

Data Center Accelerator Market Segmentation

Grand View Research has segmented the global data center accelerator market report based on processor, type, application, and region:

Data Center Accelerator Processor Outlook (Revenue, USD Billion, 2018 - 2030)

GPU

CPU

FPGA

ASIC

Data Center Accelerator Type Outlook (Revenue, USD Billion, 2018 - 2030)

HPC Data Center

Cloud Data Center

Data Center Accelerator Application Outlook (Revenue, USD Billion, 2018 - 2030)

Deep Learning Training

Public Cloud Interface

Enterprise Interface

Data Center Accelerator Regional Outlook (Revenue, USD Billion, 2018 - 2030)

North America

US

Canada

Mexico

Europe

UK

Germany

France

Asia Pacific

China

India

Japan

Australia

South Korea

Latin America

Brazil

Middle East & Africa (MEA)

UAE

Saudi Arabia

South Africa

List of Key Players

Advanced Micro Devices, Inc.

Dell Inc.

IBM Corporation

Intel Corporation

Lattice Semiconductor

Lenovo Ltd.

Marvell Technology Inc.

Microchip Technology Inc.

Micron Technology, Inc.

NEC Corporation

NVIDIA Corporation

Qualcomm Incorporated

Synopsys Inc.

Order a free sample PDF of the Data Center Accelerator Market Intelligence Study, published by Grand View Research.

[trescong]

New Age Technologies Paving the Way for Advanced Healthcare

The global health care services have witnessed rapid digitalization leading to better patient outcomes and improvement in the health of the patients. Technology has played a huge role here, with respect to how health care was provided and received across the globe. New age tech, especially Artificial Intelligence (AI) is at the forefront of this revolution. There are a number of use cases where implementation of AI in healthcare has resulted in multiple benefits in areas such as drug discovery, personalized care for chronic diseases, predictive healthcare diagnosis, etc. and at the same time playing a vital role in helping the world fight the pandemic. 

With the help of AI and machine learning, healthcare industry around the globe was able to derive better insights and provide personalized care facility to the patients. There is no doubt that decision makers in the sector understood the importance of technology adoption and areadopting these emerging technologies to reach new heights. 

Healthcare industry has been doing trail run, pilot- projects with several technology development, but adoption of AI and High-performance computing (HPC), has benefitted the most. The democratization of AI and HPC, organizations of any size and from any industry can now gain a competitive edge by harnessing the power of data. The modular building block approach of deployment-ready solutions bring speed and flexibility by allowing for quick set-up and easy scaling. While technology over the years is playing a central role to advancements in medical research, pharmaceutical development and treatments, HPC is helping to boost the sector. With the adoption of IoT sensors, and 5G technology in coming times, we're going to witness data explosion and analysis that will transform the healthcare industry, resulting in more personalized and better medications for all. Thanks to the convergence of HPC, data analytics and AI, the healthcare sector is set to become data-driven and better equipped to respond in more personalized ways. 

Big data leading to big advancements in healthcare 

Life sciences and medical research institutions, particularly genomics and precision medicine are applying AI in remarkable ways, thanks to innovative machine learning models, trained using data from old experiments. By analyzing the genetic designs, researchers can approach each case with more efficiency and accuracy. They can customize treatment models to prescribe the most effective drugs, while at the same time avoiding side effects. 

Accelerated genomic sequencing have a marvelous impact on the global fight against COVID-19, since the insights derived through this technique means faster understanding of the sub strains of the virus, its infectiousness, and a modelling on how it spreads through a population. 

Using data to drive personalized healthcare 

Personalized use of smart devices mean more data to drive health insights. In the next few year, we will witness smart households driving health outcomes through better monitoring at the edge and fast medical responses. Since we are already well accustomed to wearing devices to track our exercise and fitness levels, interpreting that data with AI and HPC will aid in early diagnosis of health problems and help to set the appropriate pathway for treatment. Imagine a time when an individual can accurately understand their health condition before even speaking to a doctor. 

Technology that advances humanity 

As access to AI and HPC becomes part of medical research every day, we can expect to see more organizations reaping the rewards by integrating AI into their infrastructure. We can anticipate that the market will continue to expand with HPC, AI and data analytics solutions and tooling converge. Additionally, we will see the adoption of Graphics Processing Units (GPUs) continue to drive AI, which will pave the way for a new line of Intelligent Processing Units (IPUs). Combined, this will further accelerate the role of data across all industries and while adopting new ways of working can seem daunting for organizations, technology vendors are well-positioned to help businesses navigate unfamiliar terrain. 

Medical research has already achieved massive success with both AI and HPC. By automating baseline data interrogation, humans are free to focus on the finer points of research and discovery. For the areas of healthcare and medical research, HPC will be the critical and X factor in the fight against the diagnosis of rare diseases, paving the way for a new era of preventative healthcare. 

About the Author: 

Manish Gupta, Senior Director & General Manager, Infrastructure Solutions Group, Dell Technologies India. 

[dhirajmarketresearch]

[semiconductorsandelectronics]

Exploring the Surge: Data Center GPU Market Growth in the US

Accelerating AI workloads and driving the demand for GPUs across US data centers to support cloud services, machine learning, and high-performance computing applications.

The US data center GPU market is growing at a very high rate. Its growth is attributed to the accelerated adoption of AI, ML, and HPC in several sectors. Data centers are widely adopting GPUs to train large AI models, such as those that power NLP and computer vision. Accelerated investments in GPU-powered infrastructure in major tech hubs such as Silicon Valley, Austin, and Seattle by key players such as NVIDIA, AMD, and Intel are creating new opportunities. This has allowed US companies to compete more effectively in areas such as healthcare, finance, and autonomous vehicles, where real-time data processing and predictive analytics are paramount. Other strong stimuli for the rise in GPU demand in the US data centers are the emergent CSPs, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Those CSPs scaled up the infrastructures of GPU to present AI-as-a-Service (AIaaS) and ML-based offerings that offer powerful computing solutions without considerable capital investments from businesses in all sizes.

The main focus of data centers in the US has been shifted towards energy efficiency and sustainability. GPUs play a crucial role in optimizing power usage. For instance, the US Department of Energy encourages the operators by introducing schemes such as the Better Buildings Data Center Challenge, wherein energy-efficient GPU solutions help to minimize carbon footprints. This also dovetails with the rising uptake of liquid and hybrid cooling technologies that will be needed to control the thermal output of high-performance GPUs, especially in hyperscale data centers. By including energy-efficient GPUs, companies are reducing their operational costs and in sync with the greater effort towards greener data centers.

Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=18997435

The other shaping influence is security concerns in the US data center GPU market, driven by a recent spike in AI-driven applications handling sensitive information. Organizations are spending in GPUs that come with strong encryption and multi-tenancy capabilities, thus guaranteeing data integrity and privacy for cloud-based infrastructure. Other regulatory compliance such as frameworks that include GDPR also dictate the demand for secure GPU acceleration infrastructure. These trends emphasize the critical role of GPUs in safeguarding data while maintaining high performance for complex workloads. Some of the key players operating in the US data center GPU market includes NVIDIA Corporation (US), Intel Corporation (US), and Advanced Micro Devices, Inc. (US).

[cybersecurityict]

Exascale Computing Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: The Race to One Quintillion Calculations Per Second

The Exascale Computing Market was valued at USD 3.47 billion in 2023 and is expected to reach USD 29.58 billion by 2032, growing at a CAGR of 26.96% from 2024-2032.

The Exascale Computing Market is undergoing a profound transformation, unlocking unprecedented levels of computational performance. With the ability to process a billion billion (quintillion) calculations per second, exascale systems are enabling breakthroughs in climate modeling, genomics, advanced materials, and national security. Governments and tech giants are investing aggressively, fueling a race for exascale dominance that’s reshaping industries and redefining innovation timelines.

Exascale Computing Market revolutionary computing paradigm is being rapidly adopted across sectors seeking to harness the immense data-crunching potential. From predictive simulations to AI-powered discovery, exascale capabilities are enabling new frontiers in science, defense, and enterprise. Its impact is now expanding beyond research labs into commercial ecosystems, paving the way for smarter infrastructure, precision medicine, and real-time global analytics.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6035 

Market Keyplayers:

Hewlett Packard Enterprise (HPE) [HPE Cray EX235a, HPE Slingshot-11]

International Business Machines Corporation (IBM) [IBM Power System AC922, IBM Power System S922LC]

Intel Corporation [Intel Xeon Max 9470, Intel Max 1550]

NVIDIA Corporation [NVIDIA GH200 Superchip, NVIDIA Hopper H100]

Cray Inc. [Cray EX235a, Cray EX254n]

Fujitsu Limited [Fujitsu A64FX, Tofu interconnect D]

Advanced Micro Devices, Inc. (AMD) [AMD EPYC 64C 2.0GHz, AMD Instinct MI250X]

Lenovo Group Limited [Lenovo ThinkSystem SD650 V3, Lenovo ThinkSystem SR670 V2]

Atos SE [BullSequana XH3000, BullSequana XH2000]

NEC Corporation [SX-Aurora TSUBASA, NEC Vector Engine]

Dell Technologies [Dell EMC PowerEdge XE8545, Dell EMC PowerSwitch Z9332F]

Microsoft [Microsoft Azure NDv5, Microsoft Azure HPC Cache]

Amazon Web Services (AWS) [AWS Graviton3, AWS Nitro System]

Sugon [Sugon TC8600, Sugon I620-G30]

Google [Google TPU v4, Google Cloud HPC VM]

Alibaba Cloud [Alibaba Cloud ECS Bare Metal Instance, Alibaba Cloud HPC Cluster]

Market Analysis The exascale computing landscape is characterized by high-stakes R&D, global governmental collaborations, and fierce private sector competition. With countries like the U.S., China, and members of the EU launching national initiatives, the market is shaped by a mix of geopolitical strategy and cutting-edge technology. Key players are focusing on developing energy-efficient architectures, innovative software stacks, and seamless integration with artificial intelligence and machine learning platforms. Hardware giants are partnering with universities, startups, and defense organizations to accelerate deployments and overcome system-level challenges such as cooling, parallelism, and power consumption.

Market Trends

Surge in demand for high-performance computing in AI and deep learning

Integration of exascale systems with cloud and edge computing ecosystems

Government funding and national strategic investments on the rise

Development of heterogeneous computing systems (CPUs, GPUs, accelerators)

Emergence of quantum-ready hybrid systems alongside exascale architecture

Adoption across healthcare, aerospace, energy, and climate research sectors

Market Scope

Supercomputing for Scientific Discovery: Empowering real-time modeling and simulations at unprecedented speeds

Defense and Intelligence Advancements: Enhancing cybersecurity, encryption, and strategic simulations

Precision Healthcare Applications: Supporting drug discovery, genomics, and predictive diagnostics

Sustainable Energy Innovations: Enabling complex energy grid management and fusion research

Smart Cities and Infrastructure: Driving intelligent urban planning, disaster management, and IoT integration

As global industries shift toward data-driven decision-making, the market scope of exascale computing is expanding dramatically. Its capacity to manage and interpret massive datasets in real-time is making it essential for competitive advantage in a rapidly digitalizing world.

Market Forecast The trajectory of the exascale computing market points toward rapid scalability and broader accessibility. With increasing collaborations between public and private sectors, we can expect a new wave of deployments that bridge research and industry. The market is moving from proof-of-concept to full-scale operationalization, setting the stage for widespread adoption across diversified verticals. Upcoming innovations in chip design, power efficiency, and software ecosystems will further accelerate this trend, creating a fertile ground for startups and enterprise adoption alike.

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Conclusion Exascale computing is no longer a vision of the future—it is the powerhouse of today’s digital evolution. As industries align with the pace of computational innovation, those embracing exascale capabilities will lead the next wave of transformation. With its profound impact on science, security, and commerce, the exascale computing market is not just growing—it is redefining the very nature of progress. Businesses, researchers, and nations prepared to ride this wave will find themselves at the forefront of a smarter, faster, and more resilient future.

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SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

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[amrutatbrc1]

Computer Aided Engineering Market 2024 : Size, Growth Rate, Business Module, Product Scope, Regional Analysis And Expansions 2033

The computer aided engineering global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Computer Aided Engineering Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The computer aided engineering market size has grown strongly in recent years. It will grow from $8.97 billion in 2023 to $9.87 billion in 2024 at a compound annual growth rate (CAGR) of 10.0%.The growth in the historic period can be attributed to advancements in computational power, globalization of engineering work, increasing complexity in product design, simulation-driven design, cost and time savings, regulatory compliance requirements, automotive crash testing simulation.

The computer aided engineering market size is expected to see strong growth in the next few years. It will grow to $14.1 billion in 2028 at a compound annual growth rate (CAGR) of 9.3%.The growth in the forecast period can be attributed to rise of industry 4.0 and smart manufacturing, increased complexity in electronics design, focus on sustainability and environmental impact, enhanced human-machine interaction simulations, digitalization of construction and infrastructure, increased use in consumer electronics. Major trends in the forecast period include increased integration of multiphysics simulations, advancements in high-performance computing (hpc), growing adoption of cloud-based cae, focus on user-friendly interfaces and workflows, increased use of generative design, use of virtual prototyping for system-level simulation.

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The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers - Increasing automation in the manufacturing sector is expected to propel the growth of the computer-aided engineering market going forward. Automation refers to the development and deployment of technologies for the production and delivery of products and services with little or no human participation. Automation technologies such as computer-aided drafting and computer-assisted N/C tape preparation are now available and widely used in the manufacturing sector to help reverse the troubling trend of declining productivity. For instance, in September 2023, according to the International Federation of Robotics (IFR), a Germany-based professional non-profit organization, the total number of service robots sold for professional use hit 158,000 units in 2022—an increase of 48%. It is recorded that 553,052 industrial robot installations are in factories around the world—a growth rate of 5% in 2022, year-on-year. Therefore, increasing automation in the manufacturing sector is expected to drive the growth of the computer-aided engineering market.

Market Trends - Technological advancements are the key trend gaining popularity in the computer-aided engineering market. Major companies operating in computer-aided engineering are focused on developing new technological solutions to attain a competitive edge in the market. For instance, in June 2021, Siemens AG, a German-based industrial manufacturing company, launched Simcenter Femap, a sophisticated simulation application that allows users to create, update, and evaluate finite element models of complicated goods or systems. Simcenter Femap offers sophisticated data-driven and graphical result visualization and assessment when paired with the industry-leading Simcenter Nastran, resulting in a full computer-aided engineering solution that optimizes the product's performance. When paired with the industry-leading Simcenter Nastran, Simcenter Femap offers sophisticated data-driven and graphical results display and evaluation, resulting in a full CAE solution that enhances product performance.

The computer aided engineering market covered in this report is segmented –

1) By Type: Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Multibody Dynamics, Optimization and Simulation 2) By Depolyment: On-Premise, Cloud-Based 3) By End-Use: Automotive, Defense and Aerospace, Electronics, Medical Devices, Industrial Equipment

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Regional Insights - Europe was the largest region in the computer-aided engineering market in 2023. The regions covered in the computer aided engineering market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies - Major companies operating in the computer aided engineering market report are Altair Engineering Inc., Dassault Systèmes SE, ESI Group, Siemens AG, Hexagon AB, Seiko Epson Corporation, Exa Corporation, Bentley Systems Inc., Numeca International, Dell Inc., Aspen Technology Inc., Symscape Pty Ltd, Synopsys Inc., Aveva Group plc, Autodesk Inc., ANSYS Inc., PTC Inc., COMSOL Inc., MSC Software Corporation, Mentor Graphics Corporation, The MathWorks Inc., OpenText Corporation, Siemens Industry Software NV, CD-adapco, ETA Engineering Inc., Ricardo Software, ZWSOFT Co. Ltd., Zemax LLC, Flow Science Inc., GNS Systems GmbH, AVL List GmbH, EnginSoft S.p.A.

Table of Contents 1. Executive Summary 2. Computer Aided Engineering Market Report Structure 3. Computer Aided Engineering Market Trends And Strategies 4. Computer Aided Engineering Market – Macro Economic Scenario 5. Computer Aided Engineering Market Size And Growth ….. 27. Computer Aided Engineering Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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[tatatechnologies]

Computer Aided Engineering Simulation Solutions for SDVs on Cloud

Mechanical Domain Architecture

The significant reduction in the number of parts in an electric vehicle, has led to modular architecture, which gives multiple advantages to an OEM to design and manufacture various types of vehicles in different lengths, sizes, and shapes in a short duration.

Electrical and Electronic Domain Architecture

To achieve the simplicity of a smartphone in the automobile domain, zonal and distributed types of EE architecture have evolved related to domains like ADAS, Powertrain, and Passive Safety, which are centred around the domains. Depending on which type of architecture is used by an OEM, the usage of ECUs varies.

Electrical Vehicle Challenges

Even though the EV market is increasing for automobiles, the biggest challenge of high-voltage batteries (HVB) still exists. A simple case of HVB during high or low outside temperatures makes the battery inefficient due to a reduction in range or increased charging times. In short, the challenges of SDVs and their extensive use in EVs require very efficient thermal management, and virtual validation is a well-known domain that is significantly used by OEMs to keep automobiles cool and smart by making Software-Driven Vehicles work efficiently.

Importance Of CAE Simulations In Engineering

In the engineering world, it is a well-known fact and an established process to use Virtual Validation, also called Computer-Aided Engineering (CAE), in the development cycle of a new product. The product can range from a small plastic clip to an automobile, industrial heavy machinery, or an aeroplane, which needs to be developed from a concept phase to production. CAE is a discipline that guides a design team in a product’s journey, ensuring it is competitive in terms of weight and manufacturing cost by analyzing techniques in selecting the right material and manufacturability to meet its ultimate function.

With the advent of high-end computing, CAE has become a principal domain with multiple sub-domains evolving to cater to manufacturing simulations, Crash & Safety, Computational Fluid Dynamics (CFD), Noise Vibration & Harshness (NVH), Durability, and Multi-body dynamics (MBD). The various disciplines need various mathematical models leading to software like LS-DYNA, ABAQUS, NASTRAN, MSC ADAMS, ALTAIR��S OPTISTRUCT, and Star CCM+, to name a few. Virtual validation plays a significant role in left shifting the development cycle, saving millions of dollars by replacing physical prototypes during the initial stages of product development.

A decade ago, there used to be high-performance computers (HPCs) that would take a good amount of time to simulate a test case scenario. However, due to the advent of fast semiconductor chips, this situation has improved significantly. Earlier, engineering companies, whether OEMs or Engineering Service Providers (ESPs), were either purchasing or leasing HPCs and spending millions of dollars for years to provide speedy products at competitive pricing. The in-house on-premises HPC would incur IT costs to maintain the server running 24/7 and electricity costs to keep the HPC machine cool to avoid overheating, leading to downtime.

Cloud computing is the new trend where large software companies are ready to provide services to OEMs and ESPs alike. This changes the entire landscape of HPC and CAE offerings. Cloud services reduce significant investment and logistics costs, giving OEMs a competitive advantage.

Future Of Virtual Validation and Software Driven Vehicles

Both virtual validation and SDVs are going to take advantage of Artificial Intelligence and Machine Learning (AI/ML) tools, which will help OEMs left shift the development cycle. In the coming decade, the usage of these tools will be as high as 60%, making automobiles safer and smarter. Thus, most of the passive safety features today will be part of active safety services due to smarter automobiles, be they passenger vehicles or commercial vehicles.

OEMs are also finding multiverse computer platforms with many advantages, like digital twinning and Universal Scene Description (USD), which will allow IT, CAD, CAM, and CAE engineers to access various design models simultaneously, leading to fast solutions. This provides a huge advantage to be competitive as a product developer, as logistics are simplified. Exciting times are yet to come with SDVs involving SOTA and FOTA, making the automobile not just a means of transportation but a more adaptive entity that will evolve and adapt to the users’ needs, providing a delightful experience to the customer.

Original source: https://www.tatatechnologies.com/media-center/computer-aided-engineering-simulation-solutions-for-sdvs-on-cloud/

| Gopal Musale, Vice President and Global Head, Virtual Validation Centre Of Excellence, ER&D at Tata Technologies.

[govindhtech]

Intel Xeon 6 Server Platforms From MSI And GIGABYTE

Intel Xeon 6 Processors

Leading worldwide server manufacturer MSI unveiled its newest server solutions today, using Intel Xeon 6 processors with Performance Cores (P-cores). These new devices, which are designed to satisfy the various needs of data center workloads, provide compute-intensive jobs exceptional performance.

The newest Intel Xeon processors server solutions from MSI, satisfy a variety of performance and efficiency needs by providing excellent performance throughout a wide range of workloads.

P-core Intel Xeon 6 processors are designed to provide the lowest total cost of ownership (TCO) for general-purpose and high-core computational applications that need great performance. Intel Xeon 6 processors have 128 cores, great memory bandwidth, and sophisticated I/O, which give them the power to handle even the most difficult AI, HPC, and data analytics tasks.

Based on the OCP Datacenter Modular Hardware System (DC-MHS) design, MSI has developed new server systems. These new servers are powered by Intel Xeon 6 processors with P-cores and feature DC-SCM hardware management cards for modular server management and streamlined OpenBMC firmware development. They are perfect for modern cloud service providers and data centers to provide management flexibility and cooling efficiency.

Using a single Intel Xeon 6 processor, the D3071 DC-MHS M-DNO Type-2 Host Processor Module serves as the foundation for two SKUs from MSI designed for high-density core-compute servers: the 2U 2-node CD270-S3071-X2 and the 3U 2-node CD370-S3071-X2 series. These systems are built to handle TDP 500W CPUs with air cooling and are optimized for compute-intensive tasks. They also aim to provide optimal thermal performance.

In order to satisfy the needs of organizations both now and in the future, MSI offers a wide choice of server platforms with Intel Xeon 6 processors, from high-performance AI solutions to cloud-scalable, energy-efficient systems.

Intel Xeon 6 price

Intel Xeon 6 prices vary depending on core count, clock speed, cache size, and model. Prices vary with market circumstances and availability.

Prices in general:

Entry-Level: $300–$1000. These CPUs perform well for general-purpose and light activities.

The mid-range is $1000 to $3000. These CPUs are good for data center and high-performance computing.

High-End: Prices surpass $3000, typically several thousand. These CPUs are optimized for large-scale data analytics, AI, and scientific simulations.

Performance Optimized Intel Xeon 6900-series Servers with P-core for AI, Cloud Computing, Edge & IOT by GIGABYTE

The first wave of GIGABYTE servers for Intel Xeon 6 Processors with P-cores was unveiled today by Giga Computing, a GIGABYTE company and pioneer in the market for generative AI systems and cutting-edge cooling solutions. The new Intel Xeon platform is designed to maximize per-core performance for general purpose applications and workloads that are heavy on computation and artificial intelligence. For certain workloads, GIGABYTE servers are designed to maximize performance by customizing the server architecture to match the chip design and particular workloads.

Intel Xeon 6900

Intel Xeon 6900-series CPUs with P-cores that have up to 128 cores and up to 96 PCIe Gen5 lanes are supported by all new GIGABYTE servers. Furthermore, the 6900-series offers up to 64 lanes of CXL 2.0 and expandable to 12 channel memory for improved performance in memory-intensive tasks. All things considered, this modular SOC architecture has a lot of promise since it can use a common platform to execute design that is optimized for economy and speed.

Single-socket, general-purpose servers

R164 Series: Small 1U chassis supporting a dual-slot GPU and a single Intel Xeon 6 CPU. The primary emphasis of server variety is the storage solution, offering 12x 2.5″ bays or 4x 3.5″/2.5″ bays for SAS, NVMe, and SATA disks.

R264 Series: This series, which now includes a 2U chassis, can accommodate up to 4x dual-slot Gen5 GPUs in addition to a single CPU.

Dual-Socket General Purpose Servers

R184 Series: This series offers comparable storage options to the R164 series, but it has a higher compute density distributed over two CPU sockets. As a result, it places less emphasis on the expansion slots and does not support dual-slot GPUs.

R284 Series: Using a 2U chassis, the increased server height allows for the integration of two CPU sockets and two GPU slots. The R284 series of devices offers up to 24x 2.5″ Gen5 drives or 12x 3.5″/2.5″ mixed storage choices.

Servers on the Edge

E264 Series: This series maintains the option to have a 2U form factor in order to accommodate a single CPU and up to four dual-slot GPUs for customers who want a small chassis depth. Compared to general-purpose servers, the server depth has dropped by over 200 mm, yet total compute performance may still be maintained at the expense of fewer storage bays.

E284 series: It is a twin CPU socket design that prioritizes CPU computing. It has two OCP NIC 3.0 ports and six FHHL extension slots, providing a multitude of I/O choices.

Modularized NVIDIA MGX servers

XV24 Line: This new twin socket series, an NVIDIA OVX optimized server architecture, offers extra FHFL slots for NICs and DPUs in addition to supporting up to four NVIDIA L40S GPUs.

Multi-node, high-density servers

H374 Series: This series provides up to eight CPU sockets distributed across four nodes for the highest density of CPU computing capabilities. Each node further has two or six 2.5″ bays and four low-profile expansion slots.

Server-grade Motherboards

MA34 Series: The MA34-CP0 is a high-quality server board with a tonne of I/O choices. It contains four Gen5 expansion ports, one OCP NIC 3.0 slot, and a wealth of MCIO 8i and SlimSAS connections.

In order to fulfill the changing needs of contemporary computing, GIGABYTE keeps pushing the envelope in server innovation. The new servers, which feature unparalleled speed, adaptability, and efficiency, are based on Intel Xeon 6900-series processors and are intended to enable organizations in a variety of industries.

Because AI, cloud computing, and edge technologies are becoming more and more important to sectors, GIGABYTE is dedicated to keeping its server designs up to date with the newest developments in processor technology, so its clients are prepared to face the challenges of the future.

As the Intel Xeon 6 platform’s potential is further explored, GIGABYTE will have systems ready to support a wide range of workloads and vertical markets. Furthermore, GIGABYTE plans to unveil a new server that incorporates Intel Gaudi 3 GPUs in the next months. Targeting AI workloads, especially generative AI inference workloads, is the goal of this scalable and affordable approach. Additionally, patrons may anticipate seeing it at Atlanta’s SC24.

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