vLLM
Apache-2.0 high-throughput LLM inference and serving engine
AI Agents / Agents · Apache-2.0 · 94.1k
Reviewed 2026-09-11 · last push 2026-10-19 · repo checked 2026-10-19
What's Good
Apache-2.0. vllm-project/vllm. Continuous batching, PagedAttention, broad model/quantization support, OpenAI-compatible API server. Built for GPU (and growing accelerator) serving at scale — docs at docs.vllm.ai.
The Catch
Vs Ollama (local model runner UX): vLLM is a serving/inference engine, not a laptop chat app. Expect CUDA/ROCm/TPU ops, driver versions, and multi-GPU reality. CPU-only is not the point. You bring hardware and ops.
Verdict
Apache-2.0 LLM serving. Free forever software; the bill is GPUs and the cluster, not a license key.
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Related
AI Agents →- OllamaMIT local model runner — free forever; Pro cloud $20/mo
- KevApache-2.0 tiny Jev-like decision models you train and serve locally
- ReefApache-2.0 infra for continually self-improving agents
- MagnitudeApache-2.0 local inference desktop+CLI — consumer profiler for agents
- vLLM Semantic RouterApache-2.0 Mixture-of-Models router — pick or compose the model path per request