The State of LLM Serving in 2026: Ollama, SGLang, TensorRT, Triton, and vLLM | Canteen

Spent the last few weeks reading through the source code of five major inference serving frameworks. Here’s what I found.

Spent the last few weeks reading through the source code of five major inference serving frameworks. Here’s what I found. Ollama · SGLang · TensorRT · Triton · vLLM · Trends · Recommendations Framework Focus Language Target User Ollama Local LLM execution Go + C++ Developers, enthusiasts SGLang High-performance serving Python/Rust/CUDA Production deployments TensorRT NVIDIA optimization C++/CUDA Enterprise, NVIDIA users Triton GPU kernel compiler Python/MLIR/C++ Kernel developers vLLM Fast LLM serving Python/CUDA Production deployments ¶ Ollama Ollama is not trying to compete with SGLang or vL

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• Oliver Lin

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