This is the GPUDirect communication matrix of the node I'm working with. GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU0 X NV12 NODE NODE SYS SYS SYS SYS 0-31,64-95 0 GPU1 N ...

This trend has proven to be a boon for Nvidia, whose high-end graphics processing chips, including the A100 and H100, remain the preferred choice for AI workloads.

Multiple versions of the Nvidia A100 Tensor Core GPU deliver acceleration at scale for the enterprise class GPU deployment along with a complete set of supporting CUDA software and the addition of the ...

Back in April, NVIDIA launched Aerial A100, which, according to Vasishta, is a "new type of computing platform designed for the (network) edge, combining AI and 5G into EGX for the enterprise." ...

For example, NVIDIA’s AI-system-in-a-box, the DGX A100, uses eight of its own A100 “Ampere” GPUs as accelerators, but also features a 128-core AMD CPU.

The United States Postal Service, or USPS, is relying on artificial intelligence-powered by Nvidia’s EGX systems to track more than 100 million pieces of mail a day that goes through its network.

EGX systems will be available from NVIDIA hardware partners like Dell, Inspur, Lenovo and Supermicro. As carriers deploy 5G infrastructure enabling a new class of mobile, real-time applications, it's ...

The NVIDIA EGX stack, which is compatible with all commercially available Kubernetes infrastructures, is an ideal platform for Aerial enabling low-power, always-on, and high-performance devices ...

Nvidia also announced a new subscription offering for the DGX Station A100 -- a desktop model of an AI computer. The new offering should make it easier for organizations to work on AI development ...

“The new Inspur AI servers with NVIDIA A100, A30 and A10 GPUs provide customers with powerful new NVIDIA-Certified Systems to meet the demands of today’s demanding AI and graphics applications.” ...