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Here's the first picture of an NVIDIA H100 "Hopper" compute processor, which succeeds the two-year old "Ampere" A100. The "Hopper" compute architecture doubles down on the strengths of "Ampere," in having the most advanced AI deep-learning compute machinery, FP64 math capability, and lots more. Built on the TSMC N5 (5 nm) node, the "GH100" processor more than doubles the transistor-count over the A100, which is expected to be around 140 billion.
Unlike the A100, the H100 will come with graphics rendering capability, The GH100 is one of the first NVIDIA chips to feature two different kinds of GPCs. Of the six GPCs has NVIDIA's graphics-relevant SMs, whereas the other GPCs have compute-relevant SMs. The graphics SM will have components such as RT cores, and other raster machinery; while the compute SMs will have specialized tensor cores and FP64 SIMD units. Counting the graphics SM, there are a total of 144 SMs on the silicon. Memory is care of what could be a 6144-bit HBM3 interface. NVIDIA will build various products based on the "GH100," including SXM cards, DGX Stations, SuperPods, and even PCIe add-in cards (AICs). NVIDIA is expected to unveil the H100 later today.
View at TechPowerUp Main Site | Source
Unlike the A100, the H100 will come with graphics rendering capability, The GH100 is one of the first NVIDIA chips to feature two different kinds of GPCs. Of the six GPCs has NVIDIA's graphics-relevant SMs, whereas the other GPCs have compute-relevant SMs. The graphics SM will have components such as RT cores, and other raster machinery; while the compute SMs will have specialized tensor cores and FP64 SIMD units. Counting the graphics SM, there are a total of 144 SMs on the silicon. Memory is care of what could be a 6144-bit HBM3 interface. NVIDIA will build various products based on the "GH100," including SXM cards, DGX Stations, SuperPods, and even PCIe add-in cards (AICs). NVIDIA is expected to unveil the H100 later today.
View at TechPowerUp Main Site | Source
