"And that's the thing that's really exciting." In an example given by the company, Nvidia said five DGX A100 systems – a new AI server appliance that comes with eight A100 GPUs – could provide ...

Nvidia said it chose AMD's latest EPYC server processors over Intel Xeon for the chipmaker's new DGX A100 deep learning system because it needed to squeeze as much juice as possible from its new ...

Expect Nvidia GTC 2025 to feature AI advancements, Jensen Huang's keynote, new GPUs, edge AI and CUDA updates. Stay tuned for ...

Block CEO Jack Dorsey said that he expects Nvidia's AI clusters to be 30 times more powerful for inferencing and training.

Two of its data centre facilities in Southeast Asia (SEA) – STT Singapore 6, and STT Bangkok 1 – have achieved certification ...

Block commits to open research by using NVIDIA’s latest GPU systems as competition intensifies among financial services companies for AI infrastructure ...

By comparison, Nvidia's densest HGX/DGX A100 systems top out at eight GPUs per box, and manage just under 2.5 petaFLOPS of dense FP16 performance, making the Blackhole Galaxy nearly 4.8x faster.

Shell: Accelerating Upstream Activities With NVIDIA AI Shell's utilization of NVIDIA DGX A100 systems, based on NVIDIA A100 Tensor Core GPUs, for seismic processing enhances its capability to ...

This project has been undertaken on the NVIDIA DGX Cloud platform in association with Stanford University and Arc Institute, a nonprofit research center, with an outlay of $650 million.

NVIDIA AI Enterprise and other software, and DGX Cloud software and services. The company was founded by Jen Hsun Huang, Chris A. Malachowsky, and Curtis R. Priem in April 1993 and is ...