Penguin currently manages over 50,000 NVIDIA GPUs for Fortune 100 customers including Meta’s AI Research SuperCluster – with 2,000 NVIDIA DGX systems and 16,000 NVIDIA A100 Tensor Core GPUs ...

DGX Cloud gives enterprises the power to train modern AI workloads such as generative AI and large language models, says Charlie Boyle, NVIDIA’s vice president of DGX Platforms.

NVIDIA DGX Cloud AI Supercomputing Brings AI Training as-a-Service Your email has been sent NVIDIA’s DGX Cloud infrastructure, which lets organizations lease space on supercomputing hardware ...

Several years ago, nVidia acquired Mellanox, a company that makes high performance networking and interconnect solutions. It used that technology to create a revolutionary datacenter GPU, the A100 AI ...

This provides 1 exaflop of performance and 144 terabytes of shared memory — about 500x more memory than the previous generation NVIDIA DGX A100, which was introduced in 2020, the company added.

Nvidia isn’t just supplying other companies with equipment though – it’s also announced plans to build its own DGX GH200-based supercomputer named Helios.

This provides 1 exaflop of performance and 144 terabytes of shared memory — nearly 500x more memory than the previous generation NVIDIA DGX A100, which was introduced in 2020.

NVIDIA says it created a supercomputer designed to help build generative AI models. The architecture of the DGX GH200 enables hundreds of powerful chips to act as a single GPU.

Nvidia notes that this means nearly 500 times more memory than in a single Nvidia DGX A100 system. Let’s circle back to the 1 exaflop figure and break it down a little.

The DDN A 3 I ® AI400X2 system delivers real-world performance of more than 90 GB/s and 3 million IOPS to an NVIDIA DGX A100 system. Available with 250TB and 500TB all-NVMe usable capacity, and ...