Inference
framework overhead in real deployments - 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: framework overhead in real deployments (/showthread.php?tid=405)



framework overhead in real deployments - stackpilot - 09-21-2026

This keeps coming up in conversation so I figured I'd start a thread.

It feels like the conversation has shifted hard toward inference and serving details lately, and honestly that makes sense once you start dealing with embeddings.

Curious whether that lines up with what other people are seeing.

My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.


Re: framework overhead in real deployments - benchplease - 09-23-2026

Quote:This keeps coming up in conversation so I figured I'd start a thread.

I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at speculative decoding.


Re: framework overhead in real deployments - deltastation - 09-26-2026

that fixed it for me too.


Re: framework overhead in real deployments - quantsupply - 09-27-2026

A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tool calling.


Re: framework overhead in real deployments - labline - 09-27-2026

I hit almost the same issue last night.


Re: framework overhead in real deployments - cudascope - 09-27-2026

Quote:I hit almost the same issue last night.

I'd approach it in a boring order. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at NVFP4. Not glamorous advice, but repeatable baselines save a lot of time.


Re: framework overhead in real deployments - rocmpath - 09-27-2026

Appreciate the detail. I ended up in about the same place using MLX. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.


Re: framework overhead in real deployments - fusedriver - 09-27-2026

Thanks, that helps. That matches what I saw on M3 Max.


Re: framework overhead in real deployments - cudaworks - 09-27-2026

Quote:Thanks, that helps. That matches what I saw on M3 Max.

A couple questions before I guess too hard. Do you see the same thing with a smaller batch or shorter prompt?