I Gave My Agents a Voice… And It’s Wildly Useful
2 items
2 posts
A fair, sourced comparison of the four runtimes developers reach for when they want a coding agent talking to a model on their own hardware instead of an API: Ollama's convenience, LM Studio's GUI, vLLM's throughput, and llama.cpp's control. What each is actually for, and which to pick.
A fair comparison of vLLM, TGI, SGLang, TensorRT-LLM, llama.cpp, and LMDeploy for self-hosted LLM inference - batching, quantization, hardware, and ops.

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