head to head · open source

vllm vs gpu-hot

vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. gpu-hot has 1,636 stars, 83 forks, 8 open issues and last shipped 24 days ago. vllm leads on adoption by 5,525% (92,028 vs 1,636 stars). vllm is written in Python under Apache-2.0; gpu-hot is written in JavaScript under MIT. vllm has attracted 24% as many forks as stars, gpu-hot 5%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (cuda, llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

vllm ★ 92K gpu-hot ★ 1.6K category AI & Machine Learning

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Side by side

vllm gpu-hot
GitHub stars ★ 92K ★ 1.6K
License Apache-2.0 MIT
Written in Python JavaScript
Last push 2026-09-17 2026-08-25
Forks ⑂ 22K ⑂ 83
Self-hosting Yes Yes
Data ownership Your server Your server

pick vllm if

  • You weight community size — 92K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full vllm profile →

pick gpu-hot if

  • You want the gpu-hot feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches JavaScript
  • You evaluated both and gpu-hot fits your workflow better

full gpu-hot profile →

About vllm

vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.

read the full vllm overview →

About gpu-hot

gpu hot is a self hosted, real time NVIDIA GPU monitoring dashboard that ships as a Docker image and serves a live browser UI on port 1312 for a single machine or an entire cluster of GPU servers.

read the full gpu-hot overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

ollama vs vllm llama-cpp vs vllm ollama vs llama-cpp ollama vs gpt4all ollama vs llama-index ollama vs localai ollama vs pageindex ollama vs langfuse openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI vllm vs PageIndex vllm vs Langfuse vllm vs cognee vllm vs taipy vllm vs dagster vllm vs zvec vllm vs langchain4j

Frequently asked questions

Is vllm or gpu-hot more popular?

vllm has 92,028 GitHub stars and gpu-hot has 1,636. vllm has the larger community by that measure.

Are vllm and gpu-hot free?

Both are open source. vllm is licensed under Apache-2.0 and gpu-hot under MIT. Neither carries a licence fee.

What is the difference between vllm and gpu-hot?

vllm is written in Python and gpu-hot in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, vllm or gpu-hot?

Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose gpu-hot if its feature set, stack or MIT licence fits better. Both are self-hostable.