NVIDIA Thursday released a video that offers the first public look at Eos (pictured here), a monster 18.4 exaflops FP8 AI supercomputer powered by 576 DGX H100 systems… NVIDIA said Eos would be ranked no. 9 on the TOP500 list of the world’s fastest supercomputers, according….
At SC22: New Offerings from NetApp-NVIDIA Partnership for Scalable, Flexible AI Deployments
Managers from two AI powerhouses, NVIDIA and NetApp, sat down with us to talk about the multi-year partnership between the two companies, along with its latest joint solutions, which are considerable. From NetApp we have Firmware Engineer Chris Weber and from NVIDIA we have Shawn Kaiser, Senior Product Manager. They discuss a slew of advancements across AI-related hardware and software capabilities including joint activity around NVIDIA’s DGX SuperPOD along with BasePOD, an expansion
DDN at GTC Says Storage Appliance Doubles NVIDIA DGX Performance
CHATSWORTH, Calif. – March 22, 2022 – AI and multi-cloud data management company DDN today announced flash and hybrid data platforms for NVIDIA DGX POD and DGX SuperPOD AI, analytics and deep learning computing infrastructure. Powering thousands of NVIDIA DGX systems, including NVIDIA’s Selene and Cambridge-1 DGX SuperPOD systems, DDN offers AI data storage solutions for applications such as […]
NVIDIA Claims Install of UK’s Top Supercomputer, for Research in AI and Healthcare
Announced last October, NVIDIA today launched Cambridge-1, calling it the United Kingdom’s most powerful supercomputer. Enabling scientists and healthcare experts to use the combination of AI and simulation to accelerate the digital biology revolution, Cambridge-1 represents a $100 million investment by NVIDIA. Cambridge-1 brings together NVIDIA’s work in accelerated computing, AI and life sciences, where […]
NVIDIA Launches AI LaunchPad: AI Enterprise Infrastructure
NVIDIA today unveiled NVIDIA AI LaunchPad, a program delivered through hybrid-cloud providers designed to give enterprises access to NVIDIA-powered AI infrastructure and software. Digital infrastructure company Equinix will be the first in the AI LaunchPad program, providing NVIDIA-powered hybrid-cloud solutions globally on Platform Equinix. NVIDIA said the Equinix infrastructure deploys in minutes, “allowing enterprises to access […]
Nvidia Partners with Schrödinger on Drug Discovery
SANTA CLARA, Calif.—GTC—April 12, 2021—NVIDIA today announced a strategic partnership with Schrödinger that harnesses NVIDIA DGX A100 systems to further expand the speed and accuracy of Schrödinger’s computational drug discovery platform and enable rapid, accurate evaluation of billions of molecules for potential development of therapeutics. The companies will optimize Schrödinger’s software platform — designed to […]
UF’s HiPerGator AI: Nvidia Supercomputer Offered to Students and Researchers across State University System
January 27, 2021 – University of Florida’s new supercomputer — the fastest artificial intelligence supercomputer in higher education — will soon be available for students and faculty across the State University System, UF Provost Joe Glover announced today. The computer will give faculty and students from across the state computing power in artificial intelligence (AI) […]
New NVIDIA DGX A100 Packs Record 5 Petaflops of AI Performance for Training, Inference, and Data Analytics
Today NVIDIA unveiled the NVIDIA DGX A100 AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform. “DGX A100 systems integrate eight of the new NVIDIA A100 Tensor Core GPUs, providing 320GB of memory for training the largest AI datasets, and the latest high-speed NVIDIA Mellanox HDR 200Gbps interconnects.”
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
William Beaudin from DDN gave this talk at GTC Digital. “Enabling high performance computing through the use of GPUs requires an incredible amount of IO to sustain application performance. We’ll cover architectures that enable extremely scalable applications through the use of NVIDIA’s SuperPOD and DDN’s A3I systems. The groundbreaking performance delivered by the DGX SuperPOD enables the rapid training of deep learning models at great scale.”