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When I wanted to tinker with self-hosted models, I bought a couple of Radeon Pro V620 GPUs, because they're 32GB, still supported by current ROCm releases, and
by SwellJoe 3mo ago
When I wanted to tinker with self-hosted models, I bought a couple of Radeon Pro V620 GPUs, because they're 32GB, still supported by current ROCm releases, and a few years newer than the similar-priced 32GB Nvidia cards (which are all EOL). They're a little faster than the old Tesla stuff, as well. 64GB is enough to run Gemma 4 31b 4-bit QAT with pretty big context at a respectable interactive speed (30+ tokens per second sustained).
That said, even the old Radeon Pro stuff has gotten more expensive on eBay, so I'm not necessarily recommending cheap old server cards that need custom-printed fan shrouds to operate in a consumer PC. Probably better to buy the Radeon AI Pro R9700 for $1400, which will be faster, supported for many years, and has a fan already. Or, maybe even the Intel ARC B70 for $1000.
- girvo 3mo agoThe B70 is woeful with respect to software performance today, unfortunately, and your stuck using Intels forks of things and it still doesn’t get the full expected throughput. Such a shame to be honest.
- SwellJoe 3mo agoYeah, I'd recommend spending a little more for the AMD. As I understand, it's 40%+ faster. And, while ROCm is less mature than CUDA, it is miles more mature than the Intel stack.