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Computer Industry Joins NVIDIA to Build AI Factories and Data Centers for the Next Industrial Revolution

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

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.

© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, NVIDIA MGX, NVIDIA NIM, NVIDIA Spectrum, and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at:
https://www.globenewswire.com/NewsRoom/AttachmentNg/6319a9a5-0d6b-43a2-b728-902bc9922315

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