Nvidia has launched its 80GB version of the A100 graphics processing unit (GPU), targeting the graphics and AI chip at supercomputing applications.. The chip is based on the company’s Ampere ...

The NVIDIA A100 80GB GPU, with twice the memory of its predecessor, provides researchers and engineers unprecedented speed and performance to unlock the next wave of AI and scientific ...

NVIDIA's current A100 80GB and A100 40GB AI GPUs have TDPs of 300W and 250W, respectively, so we should expect the beefed-up A100 7936SP 96GB to have a slightly higher TDP of something like 350W ...

NVIDIA A100's MIG Feature Lets SLB Run Multiple Simulations SLB, with a Zacks Rank of 3, has experienced significant benefits from using NVIDIA’s A100 80GB Tensor Core GPUs with its INTERSECT ...

Nvidia has partnered with Google Cloud to launch new hardware instances designed ... Each instance of DGX Cloud features eight Nvidia H100 or A100 80GB Tensor Core GPUs for a total of 640GB of ...

At launch, each DGX Cloud instance will include eight of Nvidia’s A100 80GB GPUs, which were introduced in late 2020. The monthly cost for an A100-based instance will start at $36,999, with ...

Nvidia says that it can train AI at up to 9x faster than an A100. The price of an H100 is approximately 1.75X higher than an A100. Table 1 compares the performance of the A100 and H100.

MosaicML, just acquired by DataBricks for $1.3B, published some interesting benchmarks for training LLMs on the AMD MI250 GPU, and said it is ~80% as fast as an NVIDIA A100. Did the world just ...

The A100 offering will pack either 40GB or 80GB of HBM2e memory. Parthasarathy and Zanwar pitched the offerings as suitable for users who feel Oracle's AI superclusters are too big, but single ...

DGX Cloud includes NVIDIA Networking (a high-performance, low-latency fabric) and eight NVIDIA H100 or A100 80GB Tensor Core GPUs with a total of 640GB of GPU memory per node.