vLLM
Open-source · self-hostable · replaces 1 SaaS tool on os-alt
vllm-project/vllm · alive · ★ 79.5k · last commit today · 4866 open issues
License: Apache-2.0
Good fit for Production inference at scale — vLLM's continuous batching is what you want when 10+ concurrent users hit the endpoint.
Weak at Single-GPU model fit — large models (70B+) need multi-GPU tensor parallelism and careful VRAM budgeting.
In a terminal? npx -y github:SolvoHQ/os-alt-cli openai-api prints
the OpenAI API comparison table including vLLM.
how the CLI works →
Replaces these SaaS
- OpenAI API · LLM inference API
Run `docker run --gpus all -p 8000:8000 vllm/vllm-openai --model meta-llama/Llama-3.1-70B-Instruct`. The container exposes `/v1/chat/completions` and `/v1/embeddings` matching the OpenAI schema; point your existing `openai` client's `base_url` at `http://your-host:8000/v1`. Use vLLM's `--api-key` flag to require a bearer token before exposing the endpoint to the internet.
README badges for the SaaS this replaces
Maintainers and forks: drop a badge in your README to link readers from the SaaS-comparison page back to your repo.
