Given what the platform and it's intended use is I think having the proprietary nvidia drivers on there is the most appropriate. Using the nouveau driver on it might be "neat" but likely of limited practical use.
- Chuck On Sat, Mar 6, 2021 at 7:28 AM Baptiste Jonglez via cfarm-users < cfarm-users@lists.tetaneutral.net> wrote: > On 05-03-21, Andy Polyakov via cfarm-users wrote: > > > We have an opportunity to host a developer kit of the Nvidia Jetson AGX > > > Xavier board in the farm. > > > > > > See: > > > > > > > https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-agx-xavier/ > > > https://en.wikipedia.org/wiki/Tegra#Xavier > > > https://en.wikipedia.org/wiki/Nvidia_Jetson > > > > > > It has a recent 8-cores ARM CPU, > > > > "Non-Cortex" might be a more accurate description. I mean most ARM > > processors you encounter are Cortex cores, and there are many variants, > > some are naturally more recent than others. This Tegra processor on the > > other hand is not based on Cortex and in a sense is first of a kind. By > > "first" I mean that even though it's described as part of the Denver > > family, one has to recognize that previous family members used binary > > translation to proprietary instruction set. This one doesn't, it's > > actual ARM ISA implementation. > > Interesting, I hadn't realized it was such a specific design. It makes it > even more interesting for the farm. > > https://en.wikipedia.org/wiki/Project_Denver > > > > 32 GB RAM, and a big GPU. > > > > Don't get me wrong, 512 CUDA cores *is* impressive in the context of a > > single-board computer, but one can't really refer to it as "big." > > Thousands of cores is big, 512 is really entry level:-) In essence one > > can divide the amount of CUDA cores by 32 in order to get a more > > down-to-earth number. By 32, because that's how many lanes are processed > > with single instruction. In other words one can also view it as a > > processor with 32*32=1024-bit registers. > > Yes, you're right, but it's still rather impressive given the form factor > and price. > > > Most common way to use Nvidia GPUs for general-purpose computing is > > CUDA, with OpenCL being another option. Does nouveau support any of > > that? Not that I know of. My understanding is that nouveau is about > > rendering and acceleration, not about general-purpose computing. Of > > course you can say that cfarm wants to foster nouveau development toward > > OpenCL, but then it would probably be unsuitable as a shared farm > > computer. Because developers are likely to need privileged access to > > reload kernel drivers, not to mention a tendency for often reboots:-) > > Ok, I thought that nouveau could possibly support OpenCL, but I'm not > familiar with this. > > Otherwise, we would need Nvidia proprietary drivers & CUDA, or just don't > use the GPU at all. > > Thanks, > Baptiste > _______________________________________________ > cfarm-users mailing list > cfarm-users@lists.tetaneutral.net > https://lists.tetaneutral.net/listinfo/cfarm-users >
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