HCL ASUS ROG_STRIX_G16CHR, intel 14th Gen i9-14900K, nvidia GeForce RTX 4070 SUPER

[fsflover]

@absent

What about CUDA applications?

Making Nvidia CUDA available

I have a business need to do some things with the LM Studio AI software. My workstation has an older Xeon, lacking AVX2 capabilities, and its GPU is a 6GB Nvidia 1060, so it’s a nonstarter. The new laptop I just got for Qubes has a Xeon 2176M and an 8GB Nvidia P4200. This is still marginal for large models but its here and ready to go today. I would like to keep it Qubes but the nature of the business stuff will pay for a new workstation, so I’ve got to get moving. Everything I’ve read thus fa…

NVIDIA GPU passthrough into Linux HVMs for CUDA applications

While it is well known that gaming in Windows HVMs is easy to do now, I haven’t seen much talk about Linux HVMs. In my personal use case, I wanted to run CUDA applications in a “headless” manner. By this, I mean having being able to use Qubes seamless GUI with a CUDA device in an AppVM like: [2022-02-16_13-38] If you would like to do this, below are the steps I took to create this. Note that I am not sure if this will work on 4.0. This guide will use a Standalone Fedora VM, and install the RP…