NVIDIA Announces DGX GH200 AI Supercomputer
TAIPEI, Taiwan, May 28, 2023 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced a new class of large-memory AI supercomputer — an NVIDIA DGX™ supercomputer powered by NVIDIA® GH200 Grace Hopper Superchips and the NVIDIA NVLink® Switch System — created to enable the development of giant, next-generation models for generative AI language applications, recommender systems and data analytics workloads.
The NVIDIA DGX GH200’s massive shared memory space uses NVLink interconnect technology with the NVLink Switch System to combine 256 GH200 superchips, allowing them to perform as a single GPU. This provides 1 exaflop of performance and 144 terabytes of shared memory — nearly 500x more memory than the previous generation NVIDIA DGX A100, which was introduced in 2020.
“Generative AI, large language models and recommender systems are the digital engines of the modern economy,” said Jensen Huang, founder and CEO of NVIDIA. “DGX GH200 AI supercomputers integrate NVIDIA’s most advanced accelerated computing and networking technologies to expand the frontier of AI.”
NVIDIA NVLink Technology Expands AI at Scale
DGX GH200 is the first supercomputer to pair Grace Hopper Superchips with the NVIDIA NVLink Switch System, a new interconnect that enables all GPUs in a DGX GH200 system to work together as one. The previous-generation system only provided for eight GPUs to be combined with NVLink as one GPU without compromising performance.
The DGX GH200 architecture provides 48x more NVLink bandwidth than the previous generation, delivering the power of a massive AI supercomputer with the simplicity of programming a single GPU.
A New Research Tool for AI Pioneers
“Building advanced generative models requires innovative approaches to AI infrstructure,” said Mark Lohmeyer, vice president of Compute at Google Cloud. “The new NVLink scale and shared memory of Grace Hopper Superchips address key bottlenecks in large-scale AI and we look forward to exploring its capabilities for Google Cloud and our generative AI initiatives.”
“As AI models grow larger, they need powerful infrastructure that can scale to meet increasing demands,” said Alexis Björlin, vice president of Infrastructure, AI Systems and Accelerated Platforms at Meta. “NVIDIA’s Grace Hopper design looks to provide researchers with the ability to explore new approaches to solve their greatest challenges.”
“Training large AI models is traditionally a resource- and time-intensive task,” said Girish Bablani, corporate vice president of Azure Infrastructure at Microsoft. “The potential for DGX GH200 to work with terabyte-sized datasets would allow developers to conduct advanced research at a larger scale and accelerated speeds.”
New NVIDIA Helios Supercomputer to Advance Research and Development
Named NVIDIA Helios, the supercomputer will feature four DGX GH200 systems. Each will be interconnected with NVIDIA Quantum-2 InfiniBand networking to supercharge data throughput for training large AI models. Helios will include 1,024 Grace Hopper Superchips and is expected to come online by the end of the year.
Fully Integrated and Purpose-Built for Giant Models
Also included is NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform. It provides over 100 frameworks, pretrained models and development tools to streamline development and deployment of production AI including generative AI, computer vision, speech AI and more.
Watch Huang discuss NVIDIA DGX GH200 supercomputers during his keynote address at COMPUTEX.
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Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features and availability of our products, services and technologies, including NVIDIA Grace Hopper Superchips and supercomputer, NVIDIA DGX and DGX GH200, NVLink including the NVLink Switch System and NVLink interconnect technology, DGX H100, NVIDIA Grace CPU, H100 Tensor Core GPU, Helios supercomputer, Quantum-2 InfiniBand, NVIDIA Base Command and NVIDIA AI Enterprise; our collaborations with Google Cloud, Meta and Microsoft and the benefits, impact, performance, features and availability thereof; generative AI, recommender systems and data analytics being engines of the modern economy, requiring unprecedented scale, speed and efficiency; and NVIDIA’s intention to provide the DGX GH200 design as a blueprint to cloud service providers and other hyperscalers so they can further customize it for their infrastructure 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.
© 2023 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX, NVIDIA Base Command, NVIDIA Grace, NVIDIA Hopper 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/8b9f2c64-1cfe-439a-9e48-646df2d1e54c
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