Computer Industry Joins NVIDIA to Build AI Factories and Data Centers for the Next Industrial Revolution
During COMPUTEX 2024, NVIDIA announced partnerships with top computer manufacturers like ASRock Rack, ASUS, GIGABYTE, and more to develop AI factories and data centers powered by NVIDIA’s Blackwell architecture and Grace CPUs.
These systems cater to cloud, on-premises, embedded, and edge AI applications with configurations ranging from single to multi-GPUs, x86, and Grace-based processors, and both air and liquid cooling solutions.
The MGX modular reference design platform now supports Blackwell products, reducing development costs by up to 75% and time by two-thirds. NVIDIA introduces the GB200 NVL2 platform, which boosts data processing by up to 18x compared to x86 CPUs, making it ideal for large language model inference and data analytics.
Key partners, including AMD, Intel, TSMC, Dell, and others, are contributing to this ecosystem, emphasizing efficient and high-performance AI solutions. Taiwan’s companies, such as Chang Gung Memorial Hospital and Foxconn, are adopting Blackwell for advanced AI applications.
- NVIDIA partners with top manufacturers like ASRock Rack, ASUS, and GIGABYTE to advance AI factories and data centers.
- NVIDIA Blackwell architecture supports diverse AI applications with state-of-the-art Grace CPUs and networking.
- New MGX modular platform reduces development costs by up to 75% and time by two-thirds.
- GB200 NVL2 platform enhances data processing up to 18x faster than x86 CPUs.
- Taiwan’s leading companies embrace Blackwell for medical and AI-driven applications.
- Extensive ecosystem support from AMD, Intel, TSMC, Dell, and others.
- No specific financial performance data provided, raising questions about immediate economic impact.
- High dependency on partnerships could pose risks if any collaboration faces issues.
- Initial adoption predominantly in Taiwan, suggesting slower global uptake.
The announcement of new NVIDIA Blackwell architecture-powered systems represents a significant leap for the technology sector, bringing substantial innovations in AI computing, data processing and system architecture. The incorporation of Grace CPUs and NVIDIA’s networking solutions showcases a highly integrated approach designed to enhance AI computational power and efficiency.
Key technical advancements include the GB200 NVL2 platform, which is optimized for large language model inference and data processing, boasting up to
For retail investors, the technological enhancements suggest a strong potential for widespread adoption across various industries, ultimately driving demand for NVIDIA’s components. This integration could significantly benefit companies involved in data analytics, AI application development and other computationally intensive domains, promoting NVIDIA's ecosystem and partners. However, the competitive landscape, especially from competitors like AMD and Intel, might present challenges that could affect market penetration and sustainability in the long term.
From a financial perspective, NVIDIA’s announcement is poised to impact the company’s revenue streams positively. The expansion into AI factories and the development of next-generation data centers align with current market trends and demand for advanced AI capabilities. This strategic move is likely to attract substantial investment from enterprises looking to upgrade their data infrastructure.
The potential for accelerated adoption, especially among large-scale enterprises and tech giants, indicates a robust revenue forecast for NVIDIA and its partners. The cost-reduction benefits highlighted, such as slashing development costs by up to
However, investors might consider the significant capital expenditure required for developing and maintaining these cutting-edge AI systems. This could affect the cash flow in the short term, although the long-term benefits and returns are expected to be substantial. Monitoring NVIDIA’s financial health and revenue growth in subsequent quarters will be important for retail investors to gauge the actual impact of these innovations.
The introduction of NVIDIA’s Blackwell architecture and accompanying systems marks a strategic entry into a burgeoning market segment expected to grow exponentially. The modular design and diversified offerings—ranging from cloud to on-premises and edge AI systems—reflect an understanding of market needs for flexible and scalable solutions. This adaptability could help NVIDIA capture significant market share across various sectors such as healthcare, automotive and more.
The collaboration with prominent computer manufacturers like ASRock Rack, ASUS and Foxconn highlights a broad-based industry support that can help accelerate the deployment of these AI systems globally. This collaborative ecosystem not only strengthens NVIDIA’s market position but also ensures a diversified product portfolio, catering to different use cases and customer segments.
For retail investors, these developments suggest a favorable outlook for NVIDIA and its partners. The strategic positioning and market readiness of the Blackwell-powered systems could result in increased demand and market penetration, translating to potential growth in stock value. However, constant innovation and maintaining competitive advantages will be key to sustaining this growth amid the dynamic tech landscape.
- Top Computer Manufacturers Unveil Array of Blackwell-Powered Systems Featuring Grace CPUs, NVIDIA Networking and Infrastructure
- Broad Portfolios Encompass Cloud, On-Premises, Embedded and Edge AI Systems
- Offerings Range From Single to Multi-GPUs, x86 to Grace, Air to Liquid Cooling
TAIPEI, Taiwan, June 02, 2024 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA and the world’s top computer manufacturers today unveiled an array of NVIDIA Blackwell architecture-powered systems featuring Grace CPUs, NVIDIA networking and infrastructure for enterprises to build AI factories and data centers to drive the next wave of generative AI breakthroughs.
During his COMPUTEX keynote, NVIDIA founder and CEO Jensen Huang announced that ASRock Rack, ASUS, GIGABYTE, Ingrasys, Inventec, Pegatron, QCT, Supermicro, Wistron and Wiwynn will deliver cloud, on-premises, embedded and edge AI systems using NVIDIA GPUs and networking.
“The next industrial revolution has begun. Companies and countries are partnering with NVIDIA to shift the trillion-dollar traditional data centers to accelerated computing and build a new type of data center — AI factories — to produce a new commodity: artificial intelligence,” said Huang. “From server, networking and infrastructure manufacturers to software developers, the whole industry is gearing up for Blackwell to accelerate AI-powered innovation for every field.”
To address applications of all types, the offerings will range from single to multi-GPUs, x86- to Grace-based processors, and air- to liquid-cooling technology.
Additionally, to speed up the development of systems of different sizes and configurations, the NVIDIA MGX™ modular reference design platform now supports NVIDIA Blackwell products. This includes the new NVIDIA GB200 NVL2 platform, built to deliver unparalleled performance for mainstream large language model inference, retrieval-augmented generation and data processing.
GB200 NVL2 is ideally suited for emerging market opportunities such as data analytics, on which companies spend tens of billions of dollars annually. Taking advantage of high-bandwidth memory performance provided by NVLink®-C2C interconnects and dedicated decompression engines in the Blackwell architecture speeds up data processing by up to 18x, with 8x better energy efficiency compared to using x86 CPUs.
Modular Reference Architecture for Accelerated Computing
To meet the diverse accelerated computing needs of the world’s data centers, NVIDIA MGX provides computer manufacturers with a reference architecture to quickly and cost-effectively build more than 100 system design configurations.
Manufacturers start with a basic system architecture for their server chassis, and then select their GPU, DPU and CPU to address different workloads. To date, more than 90 systems from over 25 partners have been released or are in development that leverage the MGX reference architecture, up from 14 systems from six partners last year. Using MGX can help slash development costs by up to three-quarters and reduce development time by two-thirds, to just six months.
AMD and Intel are supporting the MGX architecture with plans to deliver, for the first time, their own CPU host processor module designs. This includes the next-generation AMD Turin platform and the Intel® Xeon® 6 processor with P-cores (formerly codenamed Granite Rapids). Any server system builder can use these reference designs to save development time while ensuring consistency in design and performance.
NVIDIA’s latest platform, the GB200 NVL2, also leverages MGX and Blackwell. Its scale-out, single-node design enables a wide variety of system configurations and networking options to seamlessly integrate accelerated computing into existing data center infrastructure.
The GB200 NVL2 joins the Blackwell product lineup, which also includes NVIDIA Blackwell Tensor Core GPUs, GB200 Grace Blackwell Superchips and the GB200 NVL72.
An Ecosystem Unites
NVIDIA’s comprehensive partner ecosystem includes TSMC, the world’s leading semiconductor manufacturer and an NVIDIA foundry partner, as well as global electronics makers, which provide key components to create AI factories. These include manufacturing innovations such as server racks, power delivery, cooling solutions and more from companies such as Amphenol, Asia Vital Components (AVC), Cooler Master, Colder Products Company (CPC), Danfoss, Delta Electronics and LITEON.
As a result, new data center infrastructure can quickly be developed and deployed to meet the needs of the world’s enterprises — and further accelerated by Blackwell technology, NVIDIA Quantum-2 or Quantum-X800 InfiniBand networking, NVIDIA Spectrum™-X Ethernet networking and NVIDIA BlueField®-3 DPUs — in servers from leading systems makers Dell Technologies, Hewlett Packard Enterprise and Lenovo.
Enterprises can also access the NVIDIA AI Enterprise software platform, which includes NVIDIA NIM™ inference microservices, to create and run production-grade generative AI applications.
Taiwan Embraces Blackwell
Huang also announced during his keynote that Taiwan's leading companies are rapidly adopting Blackwell to bring the power of AI to their own businesses.
Taiwan’s leading medical center, Chang Gung Memorial Hospital, plans to use the NVIDIA Blackwell computing platform to advance biomedical research and accelerate imaging and language applications to improve clinical workflows, ultimately enhancing patient care.
Foxconn, one of the world’s largest makers of electronics, is planning to use NVIDIA Grace Blackwell to develop smart solution platforms for AI-powered electric vehicle and robotics platforms, as well as a growing number of language-based generative AI services to provide more personalized experiences to its customers.
Additional Supporting Quotes
- R. Adam Norwitt, president and CEO at Amphenol: “NVIDIA’s groundbreaking AI systems require advanced interconnect solutions, and Amphenol is proud to be supplying critical components. As an important partner in NVIDIA’s rich ecosystem, we are able to provide highly complex and efficient interconnect products for Blackwell accelerators to help deliver cutting-edge performance.”
- Spencer Shen, chairman and CEO at AVC: “AVC plays a key role in NVIDIA products, providing efficient cooling for its AI hardware, including the latest Grace Blackwell Superchip. As AI models and workloads continue to grow, reliable thermal management is important to handle intensive AI computing — and we’re with NVIDIA every step of the way.”
- Jonney Shih, chairman at ASUS: “ASUS is working with NVIDIA to take enterprise AI to new heights with our powerful server lineup, which we’ll be showcasing at COMPUTEX. Using NVIDIA’s MGX and Blackwell platforms, we’re able to craft tailored data center solutions built to handle customer workloads across training, inference, data analytics and HPC.”
- Janel Wittmayer, president of Dover Corporation’s CPC: “CPC’s innovative, purpose-built connector technology enables the easy and reliable connection of liquid-cooled NVIDIA GPUs in AI systems. With a shared vision of performance and quality, CPC has the capacity and expertise to supply critical technological components to support NVIDIA’s incredible growth and progress. Our connectors are central to maintaining the integrity of temperature-sensitive products, which is important when AI systems are running compute-intensive tasks. We are excited to be part of the NVIDIA ecosystem and bring our technology to new applications.”
- Andy Lin, CEO at Cooler Master: “As the demand for accelerated computing continues to soar, so does demand for solutions that effectively meet energy standards for enterprises leveraging cutting-edge accelerators. As a pioneer in thermal management solutions, Cooler Master is helping unlock the full potential of the NVIDIA Blackwell platform, which will deliver incredible performance to customers.”
- Kim Fausing, CEO at Danfoss: “Danfoss’ focus on innovative, high-performance quick disconnect and fluid power designs makes our couplings valuable for enabling efficient, reliable and safe operation in data centers. As a vital part of NVIDIA’s AI ecosystem, our work together enables data centers to meet surging AI demands while minimizing environmental impact.”
- Ping Cheng, chairman and CEO at Delta Electronics: “The ubiquitous demand for computing power has ignited a new era of accelerated performance capabilities. Through our advanced cooling and power systems, Delta has developed innovative solutions capable of enabling NVIDIA’s Blackwell platform to operate at peak performance levels, while maintaining energy and thermal efficiency.”
- Etay Lee, vice president and general manager at GIGABYTE: “With our collaboration spanning nearly three decades, GIGABYTE has a deep commitment to supporting NVIDIA technologies across GPUs, CPUs, DPUs and high-speed networking. For enterprises to achieve even greater performance and energy efficiency for the compute-intensive workloads, we’re bringing to market a broad range of Blackwell-based systems.”
- Young Liu, chairman and CEO at Hon Hai Technology Group: “As generative AI transforms industries, Foxconn stands ready with cutting-edge solutions to meet the most diverse and demanding computing needs. Not only do we use the latest Blackwell platform in our own servers, but we also help provide the key components to NVIDIA, giving our customers faster time-to-market.”
- Jack Tsai, president at Inventec: “For nearly half a century, Inventec has been designing and manufacturing electronic products and components — the lifeblood of our business. Through our NVIDIA MGX rack-based solution powered by the NVIDIA Grace Blackwell Superchip, we’re helping customers enter a new realm of AI capability and performance.”
- Anson Chiu, president at LITEON Technology: “In pursuit of greener and more sustainable data centers, power management and cooling solutions are taking center stage. With the launch of the NVIDIA Blackwell platform, LITEON is releasing multiple liquid-cooling solutions that enable NVIDIA partners to unlock the future of highly efficient, environmentally friendly data centers.”
- Barry Lam, chairman at Quanta Computer: “We stand at the center of an AI-driven world, where innovation is accelerating like never before. NVIDIA Blackwell is not just an engine; it is the spark igniting this industrial revolution. When defining the next era of generative AI, Quanta proudly joins NVIDIA on this amazing journey. Together, we will shape and define a new chapter of AI.”
- Charles Liang, president and CEO at Supermicro: “Our building-block architecture and rack-scale, liquid-cooling solutions, combined with our in-house engineering and global production capacity of 5,000 racks per month, enable us to quickly deliver a wide range of game-changing NVIDIA AI platform-based products to AI factories worldwide. Our liquid-cooled or air-cooled high-performance systems with rack-scale design, optimized for all products based on the NVIDIA Blackwell architecture, will give customers an incredible choice of platforms to meet their needs for next-level computing, as well as a major leap into the future of AI.”
- C.C. Wei, CEO at TSMC: “TSMC works closely with NVIDIA to push the limits of semiconductor innovation that enables them to realize their visions for AI. Our industry-leading semiconductor manufacturing technologies helped shape NVIDIA’s groundbreaking GPUs, including those based on the Blackwell architecture.”
- Jeff Lin, CEO at Wistron: “As a key manufacturing partner, Wistron has been on an incredible journey alongside NVIDIA delivering GPU computing technologies and AI cloud solutions to customers. Now we’re working with NVIDIA's latest GPU architectures and reference designs, such as Blackwell and MGX, to quickly bring tremendous new AI computing products to market.”
- William Lin, president at Wiwynn: “Wiwynn is focused on helping customers address the rising demand for massive computing power and advanced cooling solutions in the era of generative AI. With our latest lineup based on the NVIDIA Grace Blackwell and MGX platforms, we’re building optimized, rack-level, liquid-cooled AI servers tailored specifically for the demanding workloads of hyperscale cloud providers and enterprises.”
To learn more about the NVIDIA Blackwell and MGX platforms, watch Huang’s COMPUTEX keynote.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.
For further information, contact:
Kristin Uchiyama
NVIDIA Corporation
+1-408-313-0448
kuchiyama@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, and availability of our products, services, and technologies, including NVIDIA Blackwell architecture-powered systems, NVIDIA networking and infrastructure for enterprises, NVIDIA MGX modular reference design platform, NVIDIA GB200 NVL2 platform, NVLink-C2C, NVIDIA Blackwell Tensor Core GPUs, GB200 Grace Blackwell Superchips, GB200 NVL72, NVIDIA Quantum-2 and Quantum-X800 InfiniBand networking, NVIDIA Spectrum-X Ethernet networking, and NVIDIA BlueField-3 DPUs; third parties using and adopting our technologies and products, our collaboration and partnership with third parties and the benefits and impact thereof, and the features, performance and availability of their offerings; generative AI being the defining technology of our time, and Blackwell being the engine that will drive this new industrial revolution; and the whole industry — from server, networking and infrastructure manufacturers to software developers — gearing up for Blackwell to accelerate AI-powered innovation for every field are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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