#Intel HPC solutions

[intelnaushad]

Aurora is a supercomputer built jointly by Intel and Cray and based with Intel Xeon processors.

Cray is a subsidiary company of Hewlett Packard Enterprise (HPE).

It is one of the most powerful and fastest supercomputer in the world today.

[infomen]

Boost Enterprise Computing with the HexaData HD-H252-3C0 VER GEN001 Server

The HexaData HD-H252-3C0 VER GEN001 is a powerful 2U high-density server designed to meet the demands of enterprise-level computing. Featuring a 4-node architecture with support for 3rd Gen Intel® Xeon® Scalable processors, it delivers exceptional performance, scalability, and energy efficiency. Ideal for virtualization, data centers, and high-performance computing, this server offers advanced memory, storage, and network capabilities — making it a smart solution for modern IT infrastructure. Learn more: HexaData HD-H252-3C0 VER GEN001.

[cameliaferdon]

Intel Introduces New AI Solutions with Xeon 6 and Gaudi 3

Intel has launched its latest AI solutions featuring the Xeon 6 processors and Gaudi 3 AI accelerators. These advancements promise improved performance and efficiency for AI tasks. With the new Xeon 6, you get better AI and HPC workloads, while Gaudi 3 offers enhanced throughput and cost-effectiveness. Perfect for powering the next generation of AI applications! 🚀

#IntelAI #Innovation #TechNews

Read More Here

[skywardtelecom]

HPE Servers' Performance in Data Centers

HPE servers are widely regarded as high-performing, reliable, and well-suited for enterprise data center environments, consistently ranking among the top vendors globally. Here’s a breakdown of their performance across key dimensions:

1. Reliability & Stability (RAS Features)

Mission-Critical Uptime: HPE ProLiant (Gen10/Gen11), Synergy, and Integrity servers incorporate robust RAS (Reliability, Availability, Serviceability) features:

iLO (Integrated Lights-Out): Advanced remote management for monitoring, diagnostics, and repairs.

Smart Array Controllers: Hardware RAID with cache protection against power loss.

Silicon Root of Trust: Hardware-enforced security against firmware tampering.

Predictive analytics via HPE InfoSight for preemptive failure detection.

Result: High MTBF (Mean Time Between Failures) and minimal unplanned downtime.

2. Performance & Scalability

Latest Hardware: Support for newest Intel Xeon Scalable & AMD EPYC CPUs, DDR5 memory, PCIe 5.0, and high-speed NVMe storage.

Workload-Optimized:

ProLiant DL/ML: Versatile for virtualization, databases, and HCI.

Synergy: Composable infrastructure for dynamic resource pooling.

Apollo: High-density compute for HPC/AI.

Scalability: Modular designs (e.g., Synergy frames) allow scaling compute/storage independently.

3. Management & Automation

HPE OneView: Unified infrastructure management for servers, storage, and networking (automates provisioning, updates, and compliance).

Cloud Integration: Native tools for hybrid cloud (e.g., HPE GreenLake) and APIs for Terraform/Ansible.

HPE InfoSight: AI-driven analytics for optimizing performance and predicting issues.

4. Energy Efficiency & Cooling

Silent Smart Cooling: Dynamic fan control tuned for variable workloads.

Thermal Design: Optimized airflow (e.g., HPE Apollo 4000 supports direct liquid cooling).

Energy Star Certifications: ProLiant servers often exceed efficiency standards, reducing power/cooling costs.

5. Security

Firmware Integrity: Silicon Root of Trust ensures secure boot.

Cyber Resilience: Runtime intrusion detection, encrypted memory (AMD SEV-SNP, Intel SGX), and secure erase.

Zero Trust Architecture: Integrated with HPE Aruba networking for end-to-end security.

6. Hybrid Cloud & Edge Integration

HPE GreenLake: Consumption-based "as-a-service" model for on-premises data centers.

Edge Solutions: Compact servers (e.g., Edgeline EL8000) for rugged/remote deployments.

7. Support & Services

HPE Pointnext: Proactive 24/7 support, certified spare parts, and global service coverage.

Firmware/Driver Ecosystem: Regular updates with long-term lifecycle support.

Ideal Use Cases

Enterprise Virtualization: VMware/Hyper-V clusters on ProLiant.

Hybrid Cloud: GreenLake-managed private/hybrid environments.

AI/HPC: Apollo systems for GPU-heavy workloads.

SAP/Oracle: Mission-critical applications on Superdome Flex.

Considerations & Challenges

Cost: Premium pricing vs. white-box/OEM alternatives.

Complexity: Advanced features (e.g., Synergy/OneView) require training.

Ecosystem Lock-in: Best with HPE storage/networking for full integration.

Competitive Positioning

vs Dell PowerEdge: Comparable performance; HPE leads in composable infrastructure (Synergy) and AI-driven ops (InfoSight).

vs Cisco UCS: UCS excels in unified networking; HPE offers broader edge-to-cloud portfolio.

vs Lenovo ThinkSystem: Similar RAS; HPE has stronger hybrid cloud services (GreenLake).

Summary: HPE Server Strengths in Data Centers

Reliability: Industry-leading RAS + iLO management. Automation: AI-driven ops (InfoSight) + composability (Synergy). Efficiency: Energy-optimized designs + liquid cooling support. Security: End-to-end Zero Trust + firmware hardening. Hybrid Cloud: GreenLake consumption model + consistent API-driven management.

Bottom Line: HPE servers excel in demanding, large-scale data centers prioritizing stability, automation, and hybrid cloud flexibility. While priced at a premium, their RAS capabilities, management ecosystem, and global support justify the investment for enterprises with critical workloads. For SMBs or hyperscale web-tier deployments, cost may drive consideration of alternatives.

[chemicalmarketwatch-sp]

Top Companies Leading the Liquid Cooling Revolution

The exponential growth of power-hungry applications—including AI, high-performance computing (HPC), and 5G—has made liquid cooling a necessity rather than a niche solution. Traditional air-cooling systems simply cannot dissipate heat fast enough to support modern server densities. Liquid cooling dramatically lowers data center cooling energy from around 40% to less than 10%, offering ultra-compact, whisper-quiet operations that meet performance demands and sustainability goals 

Data center liquid cooling companies are ranked based on revenue, production capacity, technological innovation, and market presence.The data center liquid cooling market is projected to grow from USD 2.84 billion in 2025 to USD 21.14 billion by 2032, at a CAGR of 33.2% during the forecast period.

Industry Leaders Driving Innovation

Nvidia, in collaboration with hardware partners like Supermicro and Foxconn, is spearheading the liquid cooling revolution. Their new GB200 AI racks, cooled via tubing or immersion, demonstrate that cutting-edge chips require liquid solutions — reducing overhead cooling and doubling compute density . Supermicro, shipping over 100,000 GPUs in liquid-cooled racks, has become a dominant force in AI server deployments  HPE and Dell EMC also lead with hybrid and direct-to-chip models, gaining momentum with investor confidence and production scale 

Specialized Cooling Specialists

Beyond hyperscalers, several specialized firms are redefining thermal efficiency at scale. Vertiv, with $352 million in R&D investment and a record of collaboration with Nvidia and Intel, offers chassis-to-data-center solutions—including immersion and direct-chip systems—that reduce carbon emissions and enhance density  Schneider Electric, through its EcoStruxure platform, continues to lead in sustainable liquid rack modules and modular data centers, merging energy management with cutting-edge cooling in hyperscale environments 

Pioneers in Immersion and Two‑Phase Cooling

Companies like LiquidStack, Green Revolution Cooling (GRC), and Iceotope are pushing the envelope on immersion cooling. LiquidStack’s award-winning two-phase systems and GRC's CarnotJet single-phase racks offer up to 90% energy savings and water reductions, with Cortex-level PUEs under 1.03  Iceotope’s chassis-scale immersion devices reduce cooling power by 40% while cutting water use by up to 96%—ideal for edge-to-hyperscale deployments  Asperitas and Submer focus on modular immersion pods, scaling efficiently in dense compute settings 

Toward a Cooler, Greener Future

With the liquid cooling market expected to exceed USD 4.8 billion by 2027, and power-dense servers now demanding more efficient thermal solutions, liquid cooling is fast becoming the industry standard  Companies from Nvidia to Iceotope are reshaping how we approach thermal design—prioritizing integration, scalability, sustainability, and smart control. As computing power and environmental expectations rise, partnering with these liquid-cooling leaders is essential for organizations aiming to stay ahead.

Download PDF Brochure : 

Data Center Liquid Cooling Companies

Vertiv Group Corp. (US), Green Revolution Cooling Inc. (US), COOLIT SYSTEMS (Canada), Schneider Electric (France), and DCX Liquid Cooling Systems (Poland) fall under the winners’ category. These are leading players globally in the data center liquid cooling market. These players have adopted the strategies of acquisitions, expansions, agreements, and product launches to increase their market shares.

As the demand for faster, denser, and more energy-efficient computing infrastructure accelerates, liquid cooling is no longer a futuristic option—it’s a critical necessity. The companies leading this revolution, from global tech giants like Nvidia and HPE to specialized innovators like LiquidStack and Iceotope, are setting new benchmarks in thermal efficiency, sustainability, and system design. Their technologies not only enhance performance but also significantly reduce environmental impact, positioning them as key enablers of the digital and green transformation. For data center operators, IT strategists, and industry experts, aligning with these pioneers offers a competitive edge in a world where every degree and every watt counts.

[cybersecurityict]

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:

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.

Contact Us:

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[groovy-computers]

🚀 Unlock the Potential of Next-Gen CPUs with Intel’s Liquid Cooling! 🌊 At the Foundry Direct Connect 2025, Intel revealed their cutting-edge package-level liquid cooling solution. This revolutionary cooling system is set to manage the extreme heat generated by CPUs reaching up to 1000 watts! 🖥️ 🔍 What's the story? Intel's innovative design doesn't place coolant directly on the silicon die. Instead, it uses a compact cooling block with microchannels to improve efficiency. This block strategically targets hotspots, enhancing heat removal from Intel's Core Ultra and Xeon processors. 🔧 Why it matters: As chip designs demand more power, effective cooling is crucial. This solution could dramatically enhance performance for AI, HPC, and workstation tasks, and marks a significant innovation in CPU thermal management. What do you think—are you excited about liquid cooling’s potential impact on CPU performance? Comment below! #Intel #LiquidCooling #CPUCooling #TechInnovation #FutureTech #AI #HPC #Xeon #CoreUltra #GroovyComputers

[govindhtech]

Intel And Google Cloud VMware Engine For Optimizing TCO

Google Cloud NEXT: Intel adds performance, flexibility, and security to Google Cloud VMware Engine for optimum TCO.

Intel and Google Cloud cooperate at NEXT 25. New and expanded Intel solutions will improve your total cost of ownership (TCO) by improving performance and workload flexibility.

Utilise Intel Xeon 6 processors' C4 virtual machine growth

Granite Rapids, the latest Intel Xeon 6 CPU, will join the C4 Machine Series. This expansion's capabilities, shape possibilities, and flexibility can improve the performance and scalability of customers' most essential applications. designed for industry-leading inference, databases, analytics, gaming, and real-time platform performance.

Google's latest local storage innovation, high-performance Titanium Local SSDs, will be offered in new virtual machine forms for C4 on Intel Xeon 6 CPUs. This cutting-edge storage technology speeds up workloads for I/O-intensive applications with better performance and up to 35% reduced local SSD latency.

Customers that want the maximum control and freedom may now use C4 bare metal instances. The new goods outperform bare metal predecessors from preceding generations by 35%.

Intel supports new, bigger C4 VM forms for greater flexibility and scalability. These new designs have the highest all-core turbo frequency of any Google Compute Engine virtual machine (VM) at 4.2 GHz, higher frequencies, greater cache sizes, and up to 2.2 TB of memory. This allows memory-bound or license-constrained applications like databases and data analytics to grow effectively.

Want a Memory-Optimized VM? Meet M4, the latest memory-optimized VM

Emerald Rapids is the first memory-optimized instance on 5th Gen Intel Xeon Scalable CPUs. The M4 virtual machine family, Google Cloud's latest memory-optimized instances, is designed for in-memory analytics. Compare to other top cloud solutions with similar architecture, M4 performs better.

M4's 13.3:1 and 26.6:1 Memory/Core ratios provide you additional flexibility to size database workloads. It supports 744GB to 3TB capacities. The RAM-to-vCPU ratio doubles with M4. M4 offers great options for companies looking to improve their memory-optimized infrastructure with new designs and a large virtual machine portfolio. The pricing performance of M4 instances is up to 65% better than M3.

Perfect SAP Support

Intel Xeon CPUs are ideal for SAP applications due to their speed and scalability. New memory-optimized M4 instances from Google Cloud are certified for SAP NetWeaver Application Server and in-memory SAP HANA workloads from 768GB to 3TB. In the M4, 5th Gen Intel Xeon Scalable processors provide 2.25x more SAPs than the previous iteration, improving performance. Intel's hardware-based security and data protection and M4's SAP workload flexibility help you reduce costs and maximise performance.

Z3-highmem and Z3.metal: New Storage Options for Industry-Specific VMs

Google Cloud's Z3 instance on 4th Gen Intel Xeon Scalable CPUs (codenamed Sapphire Rapids) adds 11 Z3-highmem Storage Optimised offerings with new smaller VM shapes from 3TB to 18TB Titanium SSD. This extension scales from 2 to 11 virtual machines to satisfy various storage needs and workloads.

Google Cloud, which optimises storage with the Titanium Offload System, includes Z3.metal and Z3 high-memory versions. Google Cloud's latest bare metal instance, Z3h-highmem-192-metal, has 72TB of Titanium SSD in a single compute engine unit. This form supports hyperconverged infrastructure, advanced monitoring, and custom hypervisors. Customers may develop comprehensive CPU monitoring or tightly controlled process execution with direct access to real server CPUs. Security, CI/CD, HPC, and financial services can handle workloads that cannot run on virtualised systems due to licensing and vendor support requirements.

Google Cloud VMware Engine Adds 18 Nodes that Change Everything

Cloud by Google VMware Engine is a fast way to migrate VMware estate to Google Cloud. Intel Xeon CPUs make VMware applications easy to run and move to the cloud. There are currently 26 node forms in VMware Engine v1 and v2, with 18 more added. You now have the most industry options to optimise TCO and capacity to meet business needs.

More Security with Intel TDX

Intel and Google Cloud provide cutting-edge security capabilities including Intel Trust Domain Extensions. Intel TDX encrypts currently running processes using a proprietary CPU function.

Two items now support Intel TDX:

Confidential GKE Nodes are Google Kubernetes Engines that protect memory data and defend against attacks via hardware. usually available in Q2 2025 with Intel TDX.

Process sensitive data in Intel TDX's safe, segregated environment.

Google Cloud VMware Engine?

Move VMware-based apps to Google Cloud quickly without changing tools, procedures, or apps. includes all hardware and VMware licenses needed for a VMware SDDC on Google Cloud.

Google Cloud VMware Engine Benefits

A fully integrated VMware experience

Intel provides all licenses, cloud services, and invoicing while simplifying VMware services and tools with unified identities, management, support, and monitoring, unlike other options.

Fast provisioning and scaling

Rapid provisioning with dynamic resource management and auto scaling lets you establish a private cloud in 30 minutes.

Use popular third-party cloud applications

Keep utilising your important cloud-based business software without changes. Google Cloud VMware Engine integrates top ISV database, storage, disaster recovery, and backup technologies.

Key characteristics of Google Cloud VMware Engine

Fast networking and high availability

VMware Engine uses Google Cloud's highly performant, scalable architecture with 99.99% availability and fully redundant networking up to 200 Gbps to meet your most demanding corporate applications.

Increase datastore capacity without compromising compute.

Google Filestore and Google Cloud NetApp Volumes are VMware Engine NFS datastores qualified by VMware. Add external NFS storage to vSAN storage for storage-intensive virtual machines to increase storage independently of compute. Use Filestore or Google Cloud VMware Engine to increase capacity-hungry VM storage from TBs to PBs and vSAN for low-latency storage.

Google Cloud integration experience

Fully access cutting-edge Google Cloud services. Native VPC networking allows private layer-3 access between Google Cloud services and VMware environments via Cloud VPN or Interconnect. Access control, identity, and billing unify the experience with other Google Cloud services.

Strong VMware ecosystems

Google Cloud Backup and Disaster Recovery provides centralised, application-consistent data protection. Third-party services and IT management solutions can supplement on-premises implementations. Intel, NetApp, Veeam, Zerto, Cohesity, and Dell Technologies collaborate to ease migration and business continuity. Review the VMware Engine ecosystem brief.

Google Cloud operations suite and VMware tools knowledge

If you use VMware tools, methods, and standards for on-premises workloads, the switch is straightforward. Monitor, debug, and optimise Google Cloud apps with the operations suite.

[gis56]

🧠💾 Brain-Inspired Chips? Neuromorphic Tech Is Growing FAST!

Neuromorphic semiconductor chips are revolutionizing AI hardware by mimicking the biological neural networks of the human brain, enabling ultra-efficient, low-power computing. Unlike traditional von Neumann architectures, these chips integrate spiking neural networks (SNNs) and event-driven processing, allowing real-time data analysis with minimal energy consumption. 

To Request Sample Report : https://www.globalinsightservices.com/request-sample/?id=GIS10673 &utm_source=SnehaPatil&utm_medium=Article

By leveraging advanced semiconductor materials, 3D chip stacking, and memristor-based architectures, neuromorphic chips significantly improve pattern recognition, autonomous decision-making, and edge AI capabilities. These advancements are critical for applications in robotics, IoT devices, autonomous vehicles, and real-time medical diagnostics, where low-latency, high-efficiency computing is essential. Companies like Intel (Loihi), IBM (TrueNorth), and BrainChip (Akida) are pioneering neuromorphic processors, paving the way for next-generation AI solutions that operate closer to biological cognition.

The integration of analog computing, in-memory processing, and non-volatile memory technologies enhances the scalability and performance of neuromorphic chips in complex environments. As the demand for edge AI, neuromorphic vision systems, and intelligent sensors grows, researchers are exploring synaptic plasticity, stochastic computing, and hybrid digital-analog designs to further optimize efficiency. These chips hold promise for neuromorphic supercomputing, human-machine interfaces, and brain-computer interfaces (BCIs), driving innovations in AI-driven healthcare, cybersecurity, and industrial automation. With the convergence of AI, semiconductor technology, and neuroscience, neuromorphic semiconductor chips will be the cornerstone of next-gen intelligent computing architectures, unlocking unprecedented levels of cognitive processing and energy-efficient AI.

#neuromorphiccomputing #aihardware #braininspiredcomputing #semiconductortechnology #spikingneuralnetworks #neuromorphicsystems #memristors #analogcomputing #intelligentprocessors #machinelearninghardware #edgedevices #autonomoussystems #eventdrivenprocessing #neuralnetworks #biomimeticai #robotics #aiattheneuromorphicedge #neuromorphicvision #chipdesign #siliconneurons #futurecomputing #hpc #smartai #inmemorycomputing #lowpowerai #bci #nextgenai #deeptech #cybersecurityai #intelligentsensors #syntheticintelligence #artificialcognition #computervision #braincomputerinterfaces #aiinnovation

[news24-amit]

Chiplets and AI: A Match Made for the Future of Computing

The Chiplets Market is set to redefine semiconductor technology, with an estimated CAGR of 46.47% between 2024 and 2034. The market, valued at $7.1 billion in 2023, is projected to soar to $555 billion by 2034, driven by high-performance computing (HPC), artificial intelligence (AI), and advancements in packaging technologies.

The shift from monolithic chip designs to modular chiplet architectures is accelerating as industries demand more efficient, scalable, and high-performing semiconductor solutions.

What Are Chiplets?

Chiplets are small, modular semiconductor components that combine different processing elements—CPUs, GPUs, AI accelerators, and memory units—within a single package. Unlike traditional monolithic chips, chiplets provide greater flexibility, faster development cycles, and improved performance optimization for specific applications.

This modular approach is crucial for industries requiring high-speed processing, such as AI, data centers, and autonomous vehicles.

Key Market Drivers

1. Rising Demand for High-Performance Computing (HPC)

Industries such as AI, machine learning, and deep learning require powerful computing solutions to process vast amounts of data efficiently. Chiplet architectures enable customized processor configurations, optimizing performance for specific workloads.

2. Breakthroughs in Advanced Packaging Technologies

Innovative 2.5D and 3D packaging solutions allow better integration, reduced latency, and enhanced energy efficiency. Semiconductor leaders like Intel, AMD, and TSMC are investing heavily in heterogeneous integration and advanced interconnect technologies to maximize chiplet efficiency.

3. Geopolitical Influence on Semiconductor Manufacturing

The U.S., China, and Europe are actively investing in domestic semiconductor production to reduce dependency on foreign supply chains. The U.S. CHIPS Act and similar government initiatives are driving funding into chiplet research, production facilities, and infrastructure.

Microprocessors (MPUs) Dominating the Chiplets Market

The MPUs segment held a 49.8% market share in 2023 and is expected to expand at a 44.19% CAGR by 2034. With chiplets, MPU manufacturers can customize architectures for AI-driven applications, edge computing, and autonomous systems.

Regional Outlook: Asia-Pacific Leads the Market

Asia-Pacific captured 38.6% of the chiplets market in 2023 and is projected to grow at a 47.6% CAGR through 2034. Countries like Taiwan, South Korea, and China dominate chiplet production due to their established semiconductor ecosystems and manufacturing capabilities.

Key Players Shaping the Chiplets Market

The global chiplets market is consolidated, with major players including:

Advanced Micro Devices (AMD)

Intel Corporation

Taiwan Semiconductor Manufacturing Company (TSMC)

Marvell Technology

Nvidia Corporation

Samsung Electronics

Apple Inc.

These companies are investing in R&D, strategic partnerships, and mergers & acquisitions to expand their chiplet product portfolios.

Future Trends in the Chiplets Market

✅ Expansion of AI and Machine Learning Applications Chiplets will play a vital role in developing AI-powered computing systems that demand faster, more efficient data processing.

✅ Adoption of Advanced Chiplet Packaging Innovations in 3D stacking, silicon interposers, and hybrid bonding will enhance chiplet performance and energy efficiency.

✅ Growing Investment in Semiconductor Manufacturing With government subsidies and private investments, companies are rapidly expanding chiplet production capacity worldwide.

Conclusion

The chiplets market is on an exponential growth trajectory, driven by HPC demand, technological advancements, and geopolitical shifts. As the industry transitions from monolithic chips to modular architectures, chiplets will be the foundation for next-generation AI, data centers, and IoT applications.

Semiconductor giants are racing to dominate the chiplet market, making 2034 an era of rapid chip innovation.

Contact Us: Transparency Market Research Inc. CORPORATE HEADQUARTER DOWNTOWN, 1000 N. West Street, Suite 1200, Wilmington, Delaware 19801 USA Tel: +1-518-618-1030 USA - Canada Toll Free: 866-552-3453 Website: https://www.transparencymarketresearch.com Email: sales@transparencymarketresearch.com

[infomen]

Next-Gen 2U Server from HexaData – High Performance for Cloud & HPC

The HexaData HD-H261-N80 Ver: Gen001 is a powerful 2U quad-node server designed to meet the demands of modern data centers, AI workloads, and virtualization environments. Powered by up to 8 x Intel® Xeon® Scalable processors, it delivers unmatched density, performance, and flexibility.

This high-efficiency server supports Intel® Optane™ memory, VROC RAID, 10GbE networking, and 100G Infiniband, making it ideal for HPC, cloud computing, and enterprise-grade applications.

With robust remote management via Aspeed® AST2500 BMC and redundant 2200W Platinum PSUs, the HD-H261-N80 ensures reliability and uptime for mission-critical workloads.

Learn more and explore configurations: Hexadata HD-H261-N80-Ver: Gen001|2U High Density Server Page

[global-research-report]

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.

[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.

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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).

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AI Chipmaker Cerebras - US IPO Filing

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An Introduction to Cerebras Systems: A New Era in AI Chipmaking

In a bold move that has captured the attention of investors and tech enthusiasts alike, Cerebras Systems, a pioneering force in artificial intelligence (AI) chipmaking, has filed for an initial public offering (IPO) in the United States. This significant milestone not only marks a new chapter in the company's journey but also reflects its promise and standing in the rapidly evolving tech industry.

The Pioneering Spirit of Cerebras Systems

Founded in 2016, Cerebras Systems has carved out a distinct niche in the market with its innovative approach to AI hardware. Headquartered in Sunnyvale, California, the company aims to revolutionize the manner in which AI computations are performed. Their flagship product, the Wafer Scale Engine (WSE), boasts to be the world’s largest chip, making it a standout in the tech landscape.

What Makes WSE Unique?

World’s largest chip, significantly larger than conventional chips.

Provides superior performance for AI workloads.

Enhances the speed and efficiency of complex computational tasks.

The WSE is a game-changer because it shifts away from traditional chip architectures, delivering unparalleled processing power suitable for deep learning and other complex AI applications.

The IPO: A Strategic Financial Leap

The decision to file for an IPO holds plenty of implications for Cerebras Systems. By going public, Cerebras aims to unlock a new pathway that will bolster its capital, enhance its market reach, and facilitate further innovation in AI hardware. Here's why this strategic leap is consequential:

Capital Infusion

By listing its shares on the stock exchange, Cerebras Systems expects to raise substantial capital. This capital will be channeled towards:

Expanding R&D to pioneer new AI hardware technologies.

Scaling operations to meet the growing demand in the AI sector.

Launching new products and improvements on the existing technologies.

Market Reach and Investor Enthusiasm

IPO not only secures funding but also validates the company’s potential to public and institutional investors. Here’s what it means for Cerebras:

Increased visibility among tech investors and analysts.

Expanded market presence, both in the USA and internationally.

A stronger brand reputation, positioning it as a leader in the AI chipmaking industry.

The Competitive Landscape and Cerebras’ Edge

In the AI hardware sector, competition is intense with tech giants like NVIDIA, Intel, and Google AI vying for dominance. However, Cerebras Systems stands out due to its unique architecture and focus:

Unparalleled Processing Power

Traditional AI chips often face constraints in speed and performance, but WSE's mammoth scale and revolutionary design offer a performance leap, specifically in:

Deep learning workloads.

High-performance computing (HPC).

Artificial intelligence accelerations.

Customized Solutions

Cerebras excels not just by producing one-size-fits-all chips but by tailoring solutions that specifically meet the needs of various AI applications. This bespoke approach is winning over clients from researchers to large-scale enterprises.

Market Impact and Future Trajectory

The tech industry is abuzz with the implications of Cerebras Systems going public. Here's a look at how this monumental step could reshape the market landscape:

Acceleration in AI Research and Development

With a robust infusion of capital from the IPO, Cerebras is positioned to speed up its R&D efforts. This not only means more advanced chips but also propels the collective progress in AI research, paving the way for innovations in fields such as:

Healthcare diagnostics and research.

Autonomous vehicles.

Smart infrastructure and cities.

Economic Ripple Effects

Cerebras’ IPO is likely to have a ripple effect on the broader tech market:

Attracting higher venture investments into AI hardware firms.

Boosting the stock value of existing AI players.

Spurring job creation and economic activity in the tech sector.

Challenges on the Horizon

Despite its promise, the road ahead for Cerebras Systems is fraught with challenges. Key among these are:

Intense competition from entrenched players like NVIDIA and Intel.

Potential supply chain disruptions, a persistent issue in tech manufacturing.

The need to continually innovate to maintain a competitive edge.

Addressing Supply Chain Challenges

Cerebras will need to ensure a robust supply chain to meet its production demands, which could include diversifying suppliers and investing in logistics technology for smoother operations.

Keeping Up with Innovation

To stay ahead, the company must invest heavily in R&D, keeping its products at the cutting-edge of AI technology. This ongoing innovation is crucial for maintaining and growing its market share.

Conclusion: Cerebras Systems - A Technological Vanguard

Cerebras Systems’ decision to file for a US IPO is a definitive step towards cementing its status as a technological vanguard within the AI hardware sector. With the strategic infusion of funds and increased market visibility, Cerebras is poised to accelerate its mission of revolutionizing AI computations with innovative chip designs. As the company prepares to go public, investors, tech enthusiasts, and industry players alike are keeping a keen eye on how Cerebras will continue to shape the future of artificial intelligence. With a solid foundation in innovation and a clear vision for growth, Cerebras Systems is undoubtedly a company to watch in the coming years. Want more? Join the newsletter: https://avocode.digital/newsletter/