![]() |
|
JAX for inference only on dual 3090 - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Drivers / Frameworks / Toolkits (https://www.datasculpting.ai/inference/forumdisplay.php?fid=8) +--- Forum: PyTorch / JAX / Other Frameworks (https://www.datasculpting.ai/inference/forumdisplay.php?fid=34) +--- Thread: JAX for inference only on dual 3090 (/showthread.php?tid=1121) Pages:
1
2
|
Re: JAX for inference only on dual 3090 - quiettoken - 10-14-2026 Appreciate the detail. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: JAX for inference only on dual 3090 - latentpeak22 - 10-16-2026 Appreciate the detail. I don't think your conclusion is far off. Re: JAX for inference only on dual 3090 - deltapoint17 - 10-16-2026 Not sure I agree there. I've seen people blame token cost when the real issue was much more mundane. Re: JAX for inference only on dual 3090 - torchshed - 10-17-2026 same here on my side. Re: JAX for inference only on dual 3090 - vramghost - 10-17-2026 Interesting, I hadn't tried that. That matches what I saw on dual 3090. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. I'm happy to test one more variant if you want a second data point. |