NVIDIA’s superior exhibition processing equipment stack is presently furnished with the best in class Container H100 GPU. It highlights 16896 or 14592 CUDA cores, creating on the off chance that it comes in SXM5 of PCIe variation, with the previous being all the more remarkable. The two variations accompany a 5120-cycle interface, with the SXM5 rendition utilizing HBM3 memory running at 3.0 Gbps speed and the PCIe form utilizing HBM2E memory running at 2.0 Gbps. The two adaptations utilize a similar limit covered at 80 GBs. Nonetheless, that could before long change with the most recent gossip proposing that NVIDIA could be setting up a PCIe rendition of Container H100 GPU with 120 GBs of an obscure kind of memory introduced.

As indicated by the Chinese site “s-ss.cc” the 120 GB variation of the H100 PCIe card will include a whole GH100 chip with everything opened. As the site proposes, this rendition will further develop memory limit and execution over the normal H100 PCIe SKU. With HPC responsibilities expanding in size and intricacy, more critical memory assignment is required for better execution. With the new advances in Huge Language Models (LLMs), man-made intelligence responsibilities use trillions of boundaries for tranining, the vast majority of which is finished on GPUs like NVIDIA H100.