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

For enterprises that don’t want to spend $7 million to $60 million for Nvidia’s DGX SuperPOD AI supercomputer, the chipmaker is now giving customers the option of paying $90,000 a month for ...

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

The Internal Revenue Service (IRS) is buying an Nvidia DGX SuperPOD AI computing cluster. According to a report from The Intercept, the US tax agency will install the supercomputer at its Enterprise ...

1.44 exaFLOPs of FP4, 13.5 TB of HBM3e, 2 miles of NVLink cables, in one liquid cooled unit GTC Nvidia revealed its ... together to form one big DGX Superpod with 576 GPUs. And if you need even ...

Today, Block, Inc. (NYSE: XYZ) announced it will be the first company in North America to deploy the NVIDIA DGX SuperPOD with DGX GB200 systems. Upon deployment at an Equinix data center, this new ...

The new service is meant for businesses that want privately-owned AI supercomputers but lack the data center infrastructure and expertise to support the systems. Nvidia executive Charlie Boyle ...

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.