Hot Chips 2026: CUDA Targets RISC-V – By Chester Lam

95 points
1/21/1970
a day ago
by rbanffy

Comments


LogTrim

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.

a day ago

nxobject

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!

20 hours ago

classichasclass

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.

19 hours ago

nozzlegear

All these AI do is eat hot chip and lie

a day ago

carabiner

Any fab born after 2005

a day ago

rldjbpin

very ironic but easily explainable. as they sell their own integrated platform now, with server rack partners behaving like graphics cards oems now.

to be able to maximize customized solutions, they would like to own the entire stack which is not already commodified. the cpu remains the only final frontier in this.

there are always side-effects possible, but i wonder if all these efforts can be applied outside of ai ever.

6 hours ago

boredatoms

When does bigsky ship?

a day ago

physicsguy

CUDA used to target POWER9 architecture but it was so niche that you ended up compiling from source literally everything since no wheels were available for it. EasyBuild and Spack were full of half broken recipes for the magic incantations necessary to build fundamental packages for HPC like TensorFlow, etc.

14 hours ago

einpoklum

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.

a day ago

djmips

hot chips. hot planet.

a day ago

varispeed

Just make more RAM.

a day ago

goglidesdev

[flagged]

16 hours ago

bizstrategy10

[dead]

a day ago

Ozzie-D

[flagged]

19 hours ago