I’m looking for a machine to run OpenGPT, Stable Diffusion, and Blender. I’m on the precipice of buying an Alienware w/ Ryzen 9 with a Radeon RX6850m. I’ve never needed anything near this level on Linux and I’m scared TBH. I’d much rather get a System76, but the equivalent hw has Nvidia and costs more than twice as much. While skimming for issues with current hardware, I saw something about a Legion laptop that could only use Intel RAID for the file system, and that this was a nightmare with generic distro kernels. What other stuff like this is happening with current laptop hardware?
I can barely manage a Gentoo install by following the handbook, understanding a third of it, and taking a few weeks to get sorted.
I spent all of yesterday afternoon sorting though all of the Linux hardware data in this stable diffusion telemetry: https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html
That total dataset has just over 5k total entries/699 valid Linux entries not including LSFW. It contains no entries for a Radeon RX6850m. I’m super nervous to buy a laptop that costs as much as my first car. I never want to run Windows again. What resources can I check to boost my confidence that this is going to work on Fedora WS?
If anyone is interested, the SD github dataset has the following numb entries/AMD card model:
- _3 RX 5700 XT /8GB
- _2 RX _580 __ /4GB
- _3 RX _580 __ /8GB
- 15 RX 6600 XT /8GB
- _1 RX 6650 XT /8GB
- 31 RX 6700 XT /12GB
- 10 RX 6750 XT /12GB
- 10 RX 6800 __ /16GB
- 19 RX 6800 XT /16GB
- 15 RX 6900 XT /16GB
- _9 RX 6950 XT /16GB
- _7 RX 7900 XT /20GB
- 39 RX 7900XTX /24GB
- _6 RX VEGA __ /8GB
Other common cards used in Linux and in this dataset are:
NVIDIA
- 39 A100-SXM4 /79GB
- 20 GTX-1070 /8GB
- 11 GTX-1080Ti /11GB
- 13 H100-PCIe /79GB
- 12 RTX-2070 /8GB
- 12 RTX-2080 Ti /22GB
- 31 RTX-3060 /12GB
- 16 RTX-3070 /8GB
- 10 RTX-3080 /10GB
- 39 RTX-3090 /24GB
- 11 RTX-3090 Ti /24GB
- 10 RTX-4070 Ti /12GB
- 87 RTX-4090 /24GB
- 27 RTX-A4000 /16GB
- 15 RTX-A5000 /24GB
TESLA
- 26 T4 /15GB
- 11 V100S-PCIE /32GB
While it’s not an immediate solution, Framework laptops are way ahead of the curve in terms of open sourcing their firmware, and being open and Linux-friendly in general. The Framework 16 should be out by the end of the year and will support an external gpu.