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Self-host LLM serving at scale
The best LLM serving engine for self-hosting open models at scale is vLLM because it scores highest on our published formula (90.5/100): Open-source high-throughput serving engine, and the most-starred in this category on GitHub (see signals).
The job: “I want to serve open models to many users on my own GPUs.” · Last checked
vLLM
Open-source high-throughput serving engine, and the most-starred in this category on GitHub (see signals).
Not for: Single-user laptop use (see Run LLMs locally).
Pricing: Open source; you pay for your own GPUs. source, checked 2026-10-19
Visit vLLM ↗SGLang
Fast open-source serving engine with a very active release pace.
Not for: Teams that want the largest ecosystem of guides and integrations.
Pricing: Open source; you pay for your own GPUs. source
Score breakdown
| Tool | Fit (editorial) ×0.4 | Adoption (GitHub stars) ×0.25 | Momentum (release freshness) ×0.2 | Attention (HN, 30d) ×0.15 | Score |
|---|---|---|---|---|---|
| vLLM | 5/5 → 1 | 94.7k★ → 0.932 | Oct 18, 2026 → 0.965 | 36 pts → 0.529 | 90.5 |
| SGLang | 4/5 → 0.75 | 37.6k★ → 0.857 | Oct 19, 2026 → 0.974 | 6 pts → 0.285 | 75.2 |
Missing signals are dropped and the remaining weights re-normalized. See methodology. Signals fetched Oct 21, 2026.
FAQ
What is the best LLM serving engine for self-hosting open models at scale?
The best LLM serving engine for self-hosting open models at scale is vLLM because it scores highest on our published formula (90.5/100): Open-source high-throughput serving engine, and the most-starred in this category on GitHub (see signals).
What is the best alternative to vLLM?
Our runner-up is SGLang (75.2/100). Fast open-source serving engine with a very active release pace. Not for: Teams that want the largest ecosystem of guides and integrations.
Who should not use vLLM?
Single-user laptop use (see Run LLMs locally).
How much does vLLM cost?
Open source; you pay for your own GPUs. (checked 2026-10-19, source: https://github.com/vllm-project/vllm)
Related jobs
- Run LLMs locally: pick Ollama
- One API for many models: pick OpenRouter
- Fine-tune open models: pick Unsloth
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