Home / Jobs / Self-host LLM serving at scale

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 (90.7/100): 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

Pick

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 ↗
90.7
/ 100
Runner-up

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

75.6
/ 100

Score breakdown

ToolFit (editorial) ×0.4Adoption (GitHub stars) ×0.25Momentum (release freshness) ×0.2Attention (HN, 30d) ×0.15Score
vLLM 5/5 → 1 94.2k★ → 0.932 Oct 18, 2026 → 0.984 32 pts → 0.515 90.7
SGLang 4/5 → 0.75 37.4k★ → 0.857 Oct 19, 2026 → 0.993 6 pts → 0.287 75.6

Missing signals are dropped and the remaining weights re-normalized. See methodology. Signals fetched Oct 19, 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 (90.7/100): 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 (75.6/100). 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

The weekly pick sheet

Once a week: what shipped, which picks changed, and why. Free.

Placeholder: signup isn't live yet and no email is collected. Follow RSS in the meantime.