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logicielsolutions-offshore · 23 days ago

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AWS 2025: New Features and Changes You Should Know

Discover the key AWS 2025 updates, including new AI tools, instance types, cost-saving features, and security enhancements, plus how startups and enterprises can leverage them for smarter scaling and cloud optimization.

AWS continues to lead the cloud market by rolling out a torrent of new services and enhancements. In this blog, we cover the AWS 2025 updates and AWS new features 2025 that startups and enterprises should watch. You will learn what’s new in AWS 2025, from generative AI to new instance types, and see how the AWS roadmap 2025 is shaping trends in scalability, security, and cost.

We also highlight AWS for startups USA, cost optimization strategies, and AWS security features 2025. Finally, we share a real-world example – a Logiciel case study on optimizing AWS for JobProgress (Leap LLC) – to demonstrate dramatic AWS cost optimization 2025 results and performance gains.

Generative AI and Machine Learning Innovations

AWS is investing heavily in AI/ML, reflecting the trend of AI-powered cloud services. Key highlights include:

Bedrock Data Automation (GA) – Now generally available, this feature automates generation of insights from multimodal content (documents, images, video, audio), helping developers build generative AI applications faster. Bedrock includes over 100 new foundation models, giving startups and enterprises more flexibility and control in deploying AI models.

SageMaker AI Enhancements – SageMaker has new capabilities for large-model training and more third-party model integrations, which streamline AI development while reducing cost and effort. SageMaker is widely adopted to build, train, and deploy models, and these improvements help accelerate AI adoption and cost efficiency.

Conversational AI Tools – AWS’s new tools like Q Developer and Q Business are getting smarter. Q Developer now has an enhanced CLI agent for dynamic code and conversation interaction and can generate documentation, code reviews, and tests in IDEs. Meanwhile, Q Business adds 50+ workflow integrations for automating enterprise tasks.

Hardware for AI – AWS launched faster AI chips. EC2 Trn2 instances (Trainium2-based) deliver faster speed, more memory bandwidth, and higher compute performance for ML training and inference. Also, EC2 P5en instances with high-bandwidth GPUs offer massive networking throughput for deep learning and HPC workloads.

AWS’s 2025 priority on AI is clear from its strategy. The company is even funding AI with a multi-million dollar accelerator program and public-sector research support. For startups, AWS offers cloud credits to experiment with these new AI services. Taken together, the AWS innovations 2025 for startups are vast: from Bedrock and SageMaker enhancements to Q AI assistants, AWS is making generative AI a first-class citizen in the cloud.

Compute, Storage, and Networking Enhancements

AWS continues to expand its core infrastructure with new instance types, chips, and network features:

New EC2 Instances – Several new instance families launched recently

I8g Instances – Storage-optimized instances with next-gen processors and SSDs boost I/O-intensive workloads.

I7ie Instances – Storage-optimized with massive NVMe support and better compute performance.

P5en Instances – Designed for AI/HPC, with ultra-high-speed networking.

Trn2 (Trainium2) Instances – Boosts ML model training with faster compute and memory.

Networking and Zones – AWS is boosting networking and local expansion with advanced adapters and improved VPC tools for securely orchestrating hybrid workflows. Local Zones and Outposts continue expanding in U.S. cities for low-latency edge computing.

Global Infrastructure – AWS is scaling its footprint with new designs for power-efficient data centers. While no new U.S. regions were launched yet, expect continued growth in availability zones and networking capabilities.

Containers, Serverless, and Cloud Services

AWS is also improving its container and serverless offerings, which many startups and microservices architectures rely on:

Kubernetes and Container Management – Enhanced features now auto-encrypt Kubernetes API data and offer Auto Mode for provisioning compute, storage, and networking. EKS Hybrid Nodes let you run Kubernetes on-prem alongside the cloud. These reduce operational overhead and improve governance.

Serverless (Lambda, Fargate, etc.) – Continued refinements in performance and flexibility help developers run code without managing servers. Improvements include faster cold starts and more memory/CPU configurations.

Application Services – Data pipelines are getting streamlined with zero-ETL connections. Event-driven services and secure hybrid integration features have been added. Messaging services now support generative AI capabilities for enhanced customer interactions.

These AWS cloud services 2025 focus on reducing the management burden. Kubernetes is more secure and easier; serverless offerings get performance boosts; and data workflows become more automated. For startups and enterprises alike, this means faster deployments and consistent governance.

Security and Compliance Enhancements

Security is a top focus for AWS in 2025:

Encryption and Protection by Default – Key services now encrypt data automatically. Malware protection is enabled by default. New incident response tools guide organizations through remediation using predefined playbooks.

Secure AI Use – AWS is prioritizing safe AI development. Features include content filters and policy-driven AI guardrails to manage generative outputs responsibly.

Compliance and Identity – AWS continues expanding its certifications and offers stronger access controls and audit features to simplify compliance for U.S.-based organizations.

Cost Optimization and Pricing Changes

Cost control is always critical, especially for startups on tight budgets. AWS 2025 brings both new tools and policy changes:

Reserved Instance / Savings Plan Policy – Effective June 1, 2025, AWS is restricting RIs and Savings Plans to a single end customer’s usage. In practice, this means MSPs and resellers can no longer share one RI/SP across multiple clients. Enterprises should review their commitments: the new policy could require each company (or corporate unit) to manage its own reservations separately. This is a major AWS pricing change 2025 and may impact how large organizations do bulk purchasing.

Spot Instances and Fargate Spot – AWS continues to encourage spot pricing: new visibility tools and deeper discounts (up to 90%) help automate migrating workloads to spot when possible. For example, AWS Batch and SageMaker now integrate Spot more seamlessly.

Cost Management Tools – AWS enhanced Cost Explorer and Budgets in late 2024, adding features like cost anomaly detection powered by ML. Compute Optimizer was updated to support more resource types and provide savings recommendations (rightsizing instances, using Savings Plans, etc.). Startups should leverage these to track their spending.

Case Study: Leap (JobProgress) – Scalable, Cost-Optimized AWS Architecture

To ground these concepts, consider a real success story. Logiciel worked with JobProgress (Leap LLC), a SaaS CRM for contractors, to redesign their AWS architecture for scale and cost efficiency. Here are the highlights:

Scalable AWS Architecture: By adopting microservices on EKS (Kubernetes) and serverless components, Logiciel made the system cloud-native. This change enabled JobProgress to scale from a few users to 15,000+ active users without performance bottlenecks, learn more here logiciel.io. Auto-scaling and container orchestration ensured reliability during traffic spikes.

Cost Reduction: Through an AWS Well-Architected review, Logiciel identified idle resources and oversized instances. They shifted workloads to spot instances and right-sized instances (using AWS Compute Optimizer recommendations). Combined with Savings Plans, these moves cut AWS infrastructure costs by roughly 40%. The savings came without sacrificing uptime – in fact, database queries became faster by using Aurora Serverless and MemoryDB.

Performance Improvement: Logiciel optimized the database layer (introducing Amazon DynamoDB and Aurora) and caching (Redis via MemoryDB), drastically reducing API latency. Network and security were tightened using VPC endpoints and default encryption. The result was snappier performance: page loads and API calls sped up by an estimated 30%, improving user experience.

Outcome: Within five years of launch, JobProgress’s enhanced AWS platform attracted investors and led to an acquisition by Leap (at a multi-million-dollar valuation). (See the full JobProgress (Leap LLC) case study on Logiciel’s site for a deep dive.) This story shows how AWS cost optimization 2025 techniques can directly power business growth: optimized infrastructure enabled rapid scaling while preserving budget.

Looking Ahead: AWS Roadmap 2025 and Future Trends

What’s on the horizon for AWS beyond these immediate changes? While AWS rarely publishes a roadmap, we can anticipate the direction:

More AI Everywhere: Expect deeper AI integration in all services (e.g. AI-driven DevOps, security, analytics). Amazon Q will likely expand to other AWS consoles and new domains (we’ve already seen Q for coding, BI, workflow).

Evolved Compute Hardware: After Graviton4 and Trainium2, keep an eye on GPU/EFA advances and the next Graviton generation. There may also be new specialized chips (e.g. Inferentia3 for edge AI).

Extended Hybrid and Edge: AWS will grow Local Zones in more U.S. metros, plus expand Wavelength for 5G. Outposts and Local Zones might gain additional service support (e.g. RDS on Local Zones). This fits the U.S. emphasis on data sovereignty and low-latency sectors (finance, manufacturing, media).

Serverless and Managed Services: AWS will continue converting more services to serverless or managed models (e.g. RDS Serverless v2 is rolling out, and Fargate improvements are ongoing). Automation features (like AWS Backup support across more services) will simplify operations.

Billing and FinOps Tools: We may see enhancements to cost management – for example, more granular Spot pricing tools or AI-driven spend forecasts. The recent RI/SP policy change hints AWS wants customers to manage commitments more directly; next might come more flexible consumption models.

Conclusion

AWS’s momentum in 2025 is unmistakable. From AI breakthroughs to new instance families and tighter security defaults, the AWS changes 2025 mean faster innovation for businesses. Startups (leveraging AWS Activate) and enterprises (using AWS Partner programs) will both find powerful new tools to cut costs and speed development. By staying current with AWS 2025 updates whether through official news or consultancies like Logiciel organizations can fully exploit the cloud’s promise.

For a concrete example, check out Logiciel’s success stories including the Leap (JobProgress) case study. It’s proof that applying these AWS innovations leads to real-world gains: cost reduction, performance improvement, and business growth. As AWS security features 2025 and new cloud services roll out, the clear strategy is to embrace them proactively. With careful planning and expert guidance, AWS users can harness these changes and stay competitive in the dynamic tech landscape.

#aws #aws cost

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cybersecurityict · 1 month ago

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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.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2619

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.

Access Complete Report: https://www.snsinsider.com/reports/high-performance-computing-market-2619

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.

About Us:

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Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

#High-Performance Computing Market #High-Performance Computing Market Scope #High-Performance Computing Market Trends

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digitalmore · 1 month ago

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#IFTTT #Digital More

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boom3010 · 4 months ago

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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.

To Request Sample Report: https://www.globalinsightservices.com/request-sample/?id=GIS10637 &utm_source=SnehaPatil&utm_medium=Article

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

About Us:

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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blueweave8 · 4 months ago

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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.

Sample Request: https://www.blueweaveconsulting.com/report/immersion-cooling-market/report-sample

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.

BlueWeave Consulting & Research Pvt Ltd

+1 866 658 6826 | +1 425 320 4776 | +44 1865 60 0662

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#Immersion Cooling Market

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global-research-report · 5 months ago

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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

Canada

Mexico

Europe

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.

#Data Center Accelerator Market

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marketanalysisdata · 8 months ago

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Immersion Cooling Market 2030 Regional Outlook, Share, Type and Application, Trends

The global immersion cooling market was valued at USD 197.0 million in 2022 and is projected to grow at a robust compound annual growth rate (CAGR) of 22.6% from 2023 to 2030. This growth is largely fueled by the increasing demand for cost-effective and energy-efficient cooling solutions for data centers. Immersion cooling, a process where components are submerged in a thermally conductive but electrically insulating liquid, offers substantial advantages over traditional air-cooling methods, making it a compelling choice for large-scale data operations.

During the COVID-19 pandemic in 2020, global lockdowns disrupted industry expansion, delaying data center consolidation efforts as the movement of servers, closure of facilities, and construction of new sites became challenging. Despite these obstacles, demand for data centers surged, primarily due to the global shift toward remote work and a significant increase in e-commerce activities.

Gather more insights about the market drivers, restrains and growth of the Immersion Cooling Market

In the United States, the immersion cooling market is experiencing transformation as companies in this sector expand capacity to meet the growing needs of data centers. The COVID-19 pandemic accelerated the shift to digital platforms, with more businesses and consumers embracing e-commerce and online services. The need for reliable Internet of Things (IoT) capabilities and cloud computing infrastructure in the U.S. is expected to sustain high demand for data centers, especially hyper-scale data centers, which are designed to accommodate large-scale data storage and management efficiently. Unlike traditional data centers, hyper-scale facilities are equipped to handle high data traffic and intensive computing workloads, making them ideal for emerging technologies and digital applications.

The immersion cooling market comprises various global and regional players offering proprietary solutions, with some companies modifying existing Information Technology Equipment (ITE) to be compatible with immersion cooling technology. Customization is a key strategy in this market, as manufacturers often tailor solutions to meet the specific needs of their clients.

The demand for IoT and cloud infrastructure continues to grow, leading to an increased need for hyper-scale data centers. These large-scale facilities allow digital platforms to manage data storage and transfer more efficiently, catering to the expanding requirements of high-volume data traffic and intensive computing workloads.

Application Segmentation Insights:

In terms of applications, high-performance computing (HPC) was the leading segment in 2022, accounting for 34.6% of the global revenue share. Immersion cooling offers significant advantages for HPC systems, including reduced latency, improved energy efficiency, and the potential for heat reuse in industrial or urban settings. Furthermore, immersion cooling allows for rapid deployment with edge-ready solutions, making it suitable for locations where conventional cooling systems are not feasible. The technology also supports cooling of high chip densities without water waste, aligning with sustainable cooling goals.

The demand for cryptocurrency mining has grown substantially, driven by cryptocurrency’s benefits such as faster international transfers, decentralized operation, fraud protection, and enhanced transactional security. Cryptocurrency mining operations require high-performance systems that are often overclocked to maximize hash rates, and immersion cooling helps maintain the temperatures of these high-power systems efficiently. This cooling method reduces both operational and capital expenses in cryptocurrency mining, making it more cost-effective for miners to achieve their desired processing performance without overheating.

Artificial Intelligence (AI) is another segment expected to experience rapid growth, with a projected CAGR of 26.3% over the forecast period. Several factors contribute to this growth, including a resurgence in AI research in the U.S., the widespread adoption of deep learning technologies by major companies like Facebook, Google, Microsoft, and Amazon, and a rising demand for AI-driven applications. Additionally, Israel’s robust AI ecosystem is contributing to the growing demand for high-performance servers capable of managing the increased load. This upsurge in AI applications is anticipated to drive the immersion cooling market as AI servers require efficient cooling solutions to manage their significant computational workloads.

Immersion cooling systems are especially valuable for supporting large computing workloads in small or constrained spaces where traditional cooling options may be unavailable or unsuitable. This technology reduces energy consumption in edge computing environments, where cooling solutions are critical, but high-capacity power sources may not always be accessible. Immersion liquid cooling enables efficient deployment at edge locations, offering a solution that conserves energy and is adaptable to diverse environments where space or power constraints might otherwise limit the effectiveness of traditional cooling methods.

Order a free sample PDF of the Immersion Cooling Market Intelligence Study, published by Grand View Research.

#Immersion Cooling Market Analysis #Immersion Cooling Market Growth

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marketstudyreport · 8 months ago

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Immersion Cooling Market Strategy Analysis Report by 2030

Gather more insights about the market drivers, restrains and growth of the Immersion Cooling Market

Application Segmentation Insights:

Order a free sample PDF of the Immersion Cooling Market Intelligence Study, published by Grand View Research.

#Immersion Cooling Market Analysis #Immersion Cooling Market Growth

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amrutatbrc1 · 8 months ago

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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

Get an inside scoop of the computer aided engineering market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=7941&type=smp

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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globalgrowthinsights · 11 months ago

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Human Microbiome Therapeutics Market Size, Share, Growth, Trends [2032]

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dhirajmarketresearch · 7 months ago

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#High-Performance Computing HPC as a Service Market #High-Performance Computing HPC as a Service Market Share #High-Performance Computing HPC as a Service Market Size #High-Performance Computing HPC as a Service Market Research #High-Performance Computing HPC as a Service Industry #What is High-Performance Computing HPC as a Service?

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govindhtech · 1 year ago

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Boost the Performance of Amazon Databases with Intel VCPUs

VCPUs

Databases have powered websites, apps, and more for years, but organizations are facing an unprecedented amount of data from various sources. Companies are keeping more data than ever for AI, business analytics, and applications. To process more data, more databases and faster performance are needed. Companies run these databases in the cloud for flexibility, scalability, and accessibility.

While using a public cloud like Amazon Web Services (AWS) has benefits, choosing instances and configuring them may be difficult. This blog discusses new Amazon Elastic Cloud Compute (EC2) instances with 4th Gen Intel Xeon Scalable CPUs and how databases run on them. They also provide database configuration tips and methods.

An Overview of AWS

AWS still dominates the public cloud industry with 31% market share in February 2024. AWS’s huge selection of services and products can make choosing the correct database workload configuration difficult, even if your firm already runs workloads and applications there.

With numerous instance families, each with 22 offerings and fully-managed database services, it can be hard to choose the best performance or cost-effective solution. They’ll give a high-level overview of the solutions most likely to meet database workload needs, then we’ll dig into particular database types with performance data and details.

Quick overview of Amazon EC2 instance families. AWS has top-level instance categories depending on workload optimization. General Purpose, Compute, Memory, and HPC Optimized. You’ll likely choose General Purpose, Memory Optimized, or Storage Optimized depending on your database.

The next level of categorization within each wide optimization family is processor vendor (Intel or Graviton) and processor generation (3rd Gen or 4th Gen Intel Xeon). Finally, some categories address unique needs. M7i-flex instances reduce money but don’t guarantee maximum performance, while M5n instances increase network bandwidth caps.

The performance tests below show how processor generation affects database workload performance. Choosing an instance size or vCPUs count is the final step. They provide database benchmark results at various instance sizes to aid your decision. To choose the right size instance, consider our database workload’s average and peak usage.

When choosing a cloud option, remember that while cloud possibilities may seem unlimited, each has certain configuration parameters, many of which are fixed. For instance, your task may require few vCPUs but fast networks. In almost every instance family, smaller instances have lower network bandwidth restrictions.

Instances also limit disc attachments and storage bandwidth. You may unintentionally buy a high-performance storage volume only to discover that your instance uses 20% of it. Smaller instances may only guarantee maximum performance for 30 minutes. When you find an instance that meets your needs, study the footnotes and tiny print to avoid stifling performance or inflating prices.

AWS Databases

Let’s conclude with managed database services like Amazon RDS. These services are popular because they give AWS more environment management. Users must execute OS updates, database installation and updates, database backups, and other operations with Amazon EC2 instances. AWS handles those tasks with RDS, freeing clients to control the application. Their performance tests did not use managed database services, however clients can choose which instance to host their database in. Knowing which instances perform best is still useful.

However, managed database services usually offer a limited number of Amazon EC2 instances. As of this writing, the AWS console drop-down selection to build a PostgreSQL database with RDS does not offer any instances with the latest CPU from any vendor. Read on to learn how instances effect database performance, whether you use infrastructure-as-a-service or RDS.

MySQL/PostgreSQL Performance

Over the past decade, MySQL and PostgreSQL have been among the top five databases. About every firm, regardless of industry, employs several transactional databases to store customer, employee, website backend, and other data. Many usage and performance needs differ, but many databases function best with gobs of RAM and/or high-speed storage.

They used memory-optimized Amazon EC2 R-series instances for PostgreSQL and MySQL performance tests because they have greater memory per vCPUs. Newer instances with stronger CPUs improve transactional database performance independent of instance size, according to testing.

The HammerDB database benchmark was used by Principled Technologies to test PostgreSQL. Report contains comprehensive test findings. In PostgreSQL tests, memory-optimized R7i instances with 4th Gen Intel Xeon Scalable processors had 1.138 times as many new orders per minute as R6i instances with 3rd Gen processors.

A higher database throughput can signify different things based on your needs. It may involve supporting more users if usage has increased. It could help you handle peak usage without slowing down. It could let you fit more databases on one instance, saving instance expenses over time. Choosing the correct MySQL and PostgreSQL instance is vital to keeping up with expanding user engagement on budget.

MongoDB Speed

MongoDB, a NoSQL database that stores data as documents, has approximately 50,000 customers and is more flexible than table-based relational databases. Users deploy these databases in dispersed clusters for resilience. This distribution allows you to cluster smaller instances instead of using one large instance for a large transactional database.

Their Yahoo! Cloud Serving Benchmark (YCSB) tests ran on smaller instances from four to sixteen vCPUs to simulate the common use case. C-series compute-optimized instances were chosen to demonstrate performance for database applications that use less memory.

Figure 3: Amazon EC2 C7i instances with 4th Gen Intel Xeon Scalable processors vs. C6i instances with 3rd Gen; normalized MongoDB YCSB throughput.

Performance Redis

Redis, an open-source, in-memory database, can cache and stream data. Redis databases are memory-limited but durable with regular writes to storage. Memory-optimized instances with larger RAM-to-vCPUs ratios would be desirable, however we ran their Redis Memtier benchmark tests on 4 vCPUs General Purpose M-series to simulate smaller Redis applications. These may indicate a minor company or application within a larger corporation.

Their studies indicate how newer instances affect performance, as with other database formats. The 4th Gen Intel Xeon Scalable processor-powered m7i.xlarge instance outperformed the two-generation-older m5.xlarge instance by 1.57 times and the previous-generation m6i.xlarge instance by 1.26 times.

Normalized Redis Memtier throughput on Amazon EC2 M7i instances with 4th Gen Intel Xeon Scalable processors vs. M6i and M5 instances with 3rd and 2nd Gen CPUs.

Conclusion

There are many factors to consider while hosting database applications on AWS. They have proved that choosing the latest hardware will benefit your workloads for the three databases examined by Intel or a third party. Choose AWS database instances with 4th Gen Intel Xeon Scalable CPUs to save money, support peak times, or allow for growth.