Beyond the significant PCI-e requirements, I'm tickled pink that many of the server platform requirements are "do what x86 does"... ACPI, UEFI, a TPM. I hope they do a better job with standards compliance than some of the shadier Wintel OEMs!
And Nvidia is big enough that they could impose some order on the ecosystem that the ecosystem so far has either been unable or unwilling to impose on itself. The wild west of one-offs can continue to make their application-specific designs while everyone else will presumably benefit from a reasonably standardized platform.
CUDA is proprietary technology, guarded by patents and mostly closed-source. And its originator, NVIDIA, while being a member of the Khronos consortium, and technically supporting OpenCL, makes it much more difficult for you to do anything in OpenCL than in CUDA - even though it is sometimes almosy zero effort to enable some OpenCL equivalent (e.g. : Half-precision types. They exist in CUDA; in OpenCL on NVIDIA - you can't have them).
So, live with CUDA on other hardware? No thank you.
The interesting part is that this is less "CUDA now runs on RISC-V" and more "Nvidia is defining what a CUDA-capable RISC-V server has to look like."
That could end up being a pretty influential de facto server profile for the architecture.
Beyond the significant PCI-e requirements, I'm tickled pink that many of the server platform requirements are "do what x86 does"... ACPI, UEFI, a TPM. I hope they do a better job with standards compliance than some of the shadier Wintel OEMs!
And Nvidia is big enough that they could impose some order on the ecosystem that the ecosystem so far has either been unable or unwilling to impose on itself. The wild west of one-offs can continue to make their application-specific designs while everyone else will presumably benefit from a reasonably standardized platform.
All these AI do is eat hot chip and lie
Any fab born after 2005
related: https://www.sifive.com/development-platforms/sifive-bigsky-s...
When does bigsky ship?
hot chips. hot planet.
Just make more RAM.
CUDA is proprietary technology, guarded by patents and mostly closed-source. And its originator, NVIDIA, while being a member of the Khronos consortium, and technically supporting OpenCL, makes it much more difficult for you to do anything in OpenCL than in CUDA - even though it is sometimes almosy zero effort to enable some OpenCL equivalent (e.g. : Half-precision types. They exist in CUDA; in OpenCL on NVIDIA - you can't have them).
So, live with CUDA on other hardware? No thank you.
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