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 ...

The A100 80GB GPU is available in Nvidia DGX A100 and DGX Station A100 systems, also announced today and expected to ship this quarter. Systems providers Atos, Dell Technologies, Fujitsu, GIGABYTE, ...

Nvidia replaced the HBM2 on the 40GB A100 with HBM2E, which allowed it to substantially upgrade the base specs. The 80GB flavor should benefit workloads that are both capacity-limited and memory ...

The new NVIDIA A100 PCIe 80GB is based on 7nm Ampere GA100 GPU and is equipped with 6,192 CUDA cores, offering a bandwidth of 2039 GB/s which is over 484 GB/s more than the A100 40GB launched ...

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.

At the heart of Supermicro’s AI development platform are four NVIDIA A100 80-GB GPUs to accelerate a wide range of AI and HPC workloads. The system also leverages two 4th Gen Intel Xeon Gold 6444Y ...

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 change?

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 ...

The VM.GPU.A100.1 and VM.GPU.H100.1 shapes support either an Nvidia A100 or H100 accelerator. The H100 shape will include up to 80GB of HBM3 memory, 2x 3.84TB of NVMe drive capacity, ...

Nvidia has launched a new cloud supercomputing service allowing enterprises access to infrastructure and software to train advanced models for generative AI ... Each instance of DGX Cloud features ...