![]() ![]() Ampere), the compute chip itself is a totally separate silicon GA100 vs GeForce and Quadro chips based on GA102, 104, 106, etc. Of course H100 has many other compute specific capabilities that doesn't exist in Ada.Įven in generation where Nvidia uses the same name for their compute chip (e.g. Hence the 1/32 FP64 capabilities in Ada based cards. They are different architecture where Hopper does not have any RT cores and Ada does not have FP64 cores beyond simple compatibility. A100, H100).įor the current generation, the compute chip is based on Hopper architecture (GH100) and everything else (gaming, pro viz) are based on Ada architecture (AD102, 103, 104, etc). I suspect this is due to Nvidia is targeting Pro Viz market for people who want to use RTX to speed up their workload and RT cores do not exist in the compute chips (e.g. Sometimes Quadro does end up using the compute chip (Quadro GP100 and GV100) but Nvidia hasn't put their compute chip in Quadro since Volta. ![]() GP100 is only used for their compute related product while GP102, 104, and others are used for their GeForce product. Over time, Nvidia has carved out their compute chip into its own silicon. The Tesla P100 Pascal science-targeted accelerator card (not quite a graphics card) hosts a total of 3584 CUDA Cores capable of single-precision FP CUDA Cores capable of FP64. This leads to product like the OG TITAN where it has 1/2 FP64 capabilities. Product segmentation via different silicon.īack in the days before GPGPU workload was "less" specialized, Nvidia used to use the same chip for their entire portfolio. ![]()
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