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best setup on 24GB VRAM for Gemma - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: LLM Models (https://www.datasculpting.ai/inference/forumdisplay.php?fid=12) +--- Forum: Open Weight (https://www.datasculpting.ai/inference/forumdisplay.php?fid=49) +---- Forum: Hosted (https://www.datasculpting.ai/inference/forumdisplay.php?fid=50) +---- Thread: best setup on 24GB VRAM for Gemma (/showthread.php?tid=945) |
best setup on 24GB VRAM for Gemma - thetarunner - 10-10-2026 Posting this in case it saves someone else a little time. I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about HBM constraints. Would rather learn from your scars than collect my own all at once. My use case is pretty ordinary: local chat, some document work, and occasional batch jobs. Re: best setup on 24GB VRAM for Gemma - audiodesk - 10-10-2026 Thanks, that helps. That matches what I saw on 4090. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. |