AI company Beyond Limits today said it will collaborate with Nvidia on joint strategies leveraging Nvidia technical support and GPU-optimized AI software, including containers, models and application frameworks from the Nvidia NGC catalog, to improve Beyond Limits’ software development cycle. “AI has the potential to make a major impact on problems facing the heart of […]
Lenovo Claims an HPC First for Liquid-Cooled Nvidia A100 GPU Servers
Today, Lenovo introduced the ThinkSystem SD650-N V2 server, which the company said is the first direct-to-node (DTN) liquid-cooled server for Nvidia A100 Tensor Core GPUs. It includes four board-mounted A100 GPUs in a 1U system delivering up to 3PFLOPS of compute performance in a single rack. The server uses Lenovo Neptune liquid cooling, which the […]
At SC20: Nvidia Announces A100 80GB GPU
Nvidia today unveiled the A100 80GB GPU for the Nvidia HGXTM AI supercomputing platform with twice the memory of its predecessor. The new chip with HBM2e doubles the A100 40GB GPU’s high-bandwidth memory to 80GB and delivers more than 2TB/sec of memory bandwidth, according to Nvidia. The A100 80GB GPU is available in Nvidia DGX […]
Transform Your Business with the Next Generation of Accelerated Computing
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Purdue’s ‘Anvil’ to Be Driven by Dell, AMD ‘Milan’ CPUs, Nvidia A100 Tensor Core GPUs
Another in a series of National Science Foundation supercomputing awards has been announced, this one a $10 million funding for a system to be housed at Purdue University to support HPC and AI workloads and scheduled to enter production next year. The system, dubbed Anvil, will be built in partnership with Dell and AMD and […]
Perlmutter supercomputer to include more than 6000 NVIDIA A100 processors
NERSC is among the early adopters of the new NVIDIA A100 Tensor Core GPU processor announced by NVIDIA this week. More than 6,000 of the A100 chips will be included in NERSC’s next-generation Perlmutter system, which is based on an HPE Cray Shasta supercomputer that will be deployed at Lawrence Berkeley National Laboratory later this year. “Nearly half of the workload running at NERSC is poised to take advantage of GPU acceleration, and NERSC, HPE, and NVIDIA have been working together over the last two years to help the scientific community prepare to leverage GPUs for a broad range of research workloads.”
NVIDIA A100 Tensor Core GPUs come to Oracle Cloud
Oracle is bringing the newly announced NVIDIA A100 Tensor Core GPU to its Oracle Gen 2 Cloud regions. “Oracle is enhancing what NVIDIA GPUs can do in the cloud,” said Vinay Kumar, vice president, product management, Oracle Cloud Infrastructure. “The combination of NVIDIA’s powerful GPU computing platform with Oracle’s bare metal compute infrastructure and low latency RDMA clustered network is extremely compelling for enterprises. Oracle Cloud Infrastructure’s high-performance file server solutions supply data to the A100 Tensor Core GPUs at unprecedented rates, enabling researchers to find cures for diseases faster and engineers to build safer cars.”