DeepSeek is reportedly supporting China's military and found ways around U.S. export restrictions on advanced semiconductor ...

Last May, after we had done a deep dive on the “Hopper” H100 GPU accelerator architecture and as we were trying to reckon what Nvidia could charge for the PCI-Express and SXM5 variants of the GH100, ...

NVIDIA has different configurations of its Hopper H100 chip, where there'll be the GH100 GPU, and the H100 GPU with SXM5 board form-factor. The difference between the two is below. 10 ...

Additionally, CoreWeave's NVIDIA HGX H100 infrastructure can scale up to 16,384 H100 SXM5 GPUs under the same InfiniBand Fat-Tree Non-Blocking fabric, providing access to a massively scalable ...

Back in early August, Nvidia launched the L40S accelerator based on its Lovelace ... It’s basically non-existent. The original Hopper H100 SXM5 device, by contrast, had 80 GB of HBM3 memory and 3.35 ...

According to Kennedy, the NVIDIA H100 80GB SXM5 remains the GPU of choice if you want to train basic models, such as something like ChatGPT. However, once the basic model is trained, ...

The SXM5-based NVIDIA Hopper H100 GPU has 80GB HBM3 memory maximum through 5 HBM3 stacks across a 5120-bit memory bus. Another interesting thing is that whoever sent this screenshot has an ...

The cluster features Nvidia HGX H100 servers with 1,024 Hopper architecture-based SXM5 GPUs which are connected with Nvidia Quantum-2 InfiniBand networking. According to the company, the expansion is ...

Additionally, CoreWeave’s NVIDIA HGX H100 infrastructure can scale up to 16,384 H100 SXM5 GPUs under the same InfiniBand Fat-Tree Non-Blocking fabric, providing access to a massively scalable cluster ...