vllm.ai · ML Frameworks
High throughput open source inference and serving engine built around PagedAttention and continuous batching, with an OpenAI compatible server that scales from one GPU to clusters.
vLLM is one of 20 ML framework tools on Axiomi. See all ML framework tools or how we check facts.
// guides
Ollama vs vLLM compared: setup, model formats, speed for one user or many, hardware, Mac support and the signs it is time to move from Ollama to vLLM.
RTX 3090 BF16 runs at half rate, and a new Linux mod restores it on RTX 30 cards. What it speeds up for local LLMs, what it doesn't, the risks and setup.
Can you run DeepSeek V4.1 Flash locally? Real RAM, VRAM and disk needs by GGUF, Strata on one 12 GB GPU, the llama.cpp PR, vLLM, Ollama and DGX Spark.
SmolLM vs Llama compared on benchmarks, licence, context, languages, memory and local setup, so you can choose between SmolLM3 and Llama 3.2 for your project.
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.
Recursive Flint is an Apache 2.0 coding model with 40B total and 2.5B active parameters. How to run Flint locally with Ollama, llama.cpp, rec or Unsloth.
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