The A100 (80GB) keeps most of the A100 (40GB)'s specifications: 1.41GHz boost clock, 5120-bit memory bus, 19.5 TFLOPs of single-precision, NVLink 3 support, and its 400W TDP are all unchanged from ...

NVIDIA A100 7936SP 96GB + 40GB AI GPUs (source: Jiacheng Liu) A new NVIDIA A100 7936SP -- not the real name; this name is based on its CUDA core count -- has the same GA100 GPU as the regular A100 ...

As a balanced data center platform for HPC and AI applications, Supermicro's new 2U system leverages the NVIDIA HGX A100 4 GPU board with four direct-attached NVIDIA A100 Tensor Core GPUs using ...

Demand in China has begun surging for a business that, in theory, shouldn't exist: the repair of advanced Nvidia artificial ...

Starting later this year, NVIDIA will begin selling a liquid-cooled version of its A100 GPU for data centers. The GPU maker is positioning the video card as a way for cloud computing companies to ...

Perhaps a more unusual example of the power of a GPU comes from a former NVIDIA engineer who has decided to use a NVIDIA A100 GPU to discover what is now considered to be the largest prime number ...

NVIDIA is working with Equinix to to qualify the 80GB version of its A100 PCIe GPU in liquid cooled form for its data centers. In separate tests, both NVIDIA and Equinix estimate that a data ...

According to Heaton, “most workloads will fall more in the single A100 to eight A100 range.” Nvidia’s A100 GPU has 40GB of memory. You can see this scaling in action, too.

The A100 is now available in Vultr’s New Jersey data center, with other locations following in the next few weeks. The company also tells me that it will add other Nvidia GPUs to its lineup ...

What we see in these charts is that PyTorch eager mode was not as good on inference with small batch sizes on the Nvidia A100 GPU and that the AITemplate inference framework is very good at that by ...

That's roughly $36,000. Nvidia announced the H100 as the new flagship GPU for AI and data center-focused work. It contains 80 billion transistors, which is 26 billion more than the current A100 GPU.