SGLang vs vLLM on DGX Spark compared on setup, memory, NVFP4 models, speed and clustering, so you can pick the right server for your GB10 desktop.
Open source LLM models to run locally: match Qwen3, Gemma 4, gpt-oss and DeepSeek R1 distill tags to your VRAM, with Ollama setup and licence caveats.
SGLang vs vLLM vs llama.cpp compared: what SGLang is, how RadixAttention works, Docker setup, independent benchmarks, hardware and when to pick each.
Ollama vs llama.cpp vs LM Studio compared for 2026: what each one is, ports, licences, Mac and GPU support, the context length trap, and which to pick.
Open weight vs open source AI explained: what the OSI definition requires, which popular models are which, and a licence table checked against model cards.
Run gpt-oss locally with Ollama, LM Studio, llama.cpp or vLLM: memory needs for 20b and 120b, setup commands, reasoning effort, harmony format and fine tuning.