I feel like I finally graduated.

Reddit r/LocalLLaMA Tools

Summary

The user switched from LM Studio to vLLM for serving Qwen 3.8 models, achieving 143 tokens per second and reduced GPU temperatures, referencing a helpful GitHub repository.

I finally made the move from LM Studio to vLLM thanks to this post https://www.reddit.com/r/LocalLLaMA/s/NmS9CgHvqz. I may not know what it all means yet but I’m going to start diving into the docs to learn as much as I can. I’m running an endpoint on each of my 3090s one for chat and one for subagents. This has made qwen3.8’s reasoning bearable because of the increase to 143tok/s. Thank you to Syv-ai. His repo is here https://github.com/syv-ai/qwen38-27b-rtx3090. vLLM feels like I’m finally using my hardware to its full potential, but the craziest thing is my waterblocked GPUs don’t go above 35°C before they were hitting 70°C on hard workflows. Sorry I didn’t have time to ask qwen to write or edit this post for me. tl;dr vLLm it feels good man
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