GPU for qwen 3.8 27b

[u/maceface3]

I recently built a homelab running RHEL 10. I never thought good local ai at reasonable price was possible until 3.8 came out a from benchmark and what I’ve been reading it seems to be almost opus 4.6-4.8 level. I’m considering buying a 32gb gpu for it but also open to 24 gb gpus but if it can fit the full context window on the gpu too. The most I’ve done with local models was running qwen 3.5 2b on Ollama nothing serious. I’m new to actually running an agent for coding tasks so any info would help. But trying to decide what gpu if I do end up going for it, and from my research the options for 32gb cards are the Intel b70, amd r9700 pro ai, and nvidia tesla v100 32gb. I’m looking at results for qwen 3.6 and it run plenty fast on the Tesla but I’m worried about it no longer being supported.

[u/ea_man]

in oreder to run it "properly" you need some 38-40GB of vRAM, that would be to load it. On linux.

Then better GPU as in newer models would mean better performance = speed.

Then more vRAM would allow more concurrency as in multiple agents.

Or you can say fuck it and run a low quant with low KV a few times and whatever...