Bittune
Bittune is an agent app that deploys and benchmarks AI model servers on your own GPUs for developers running vLLM or SGLang.
What it is good for
- Deploying a language model on your own GPU machine
- Measuring throughput and latency of a model server
- Comparing benchmark results across model setups
- Writing a traceable report of performance test runs
At a glance
- Who it is for
- Setup
- Guided command-line setup
Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.
- Cost
- Free and open source
- Type
- Agent app
- Tasks
- Works with
- vLLM, SGLang, EvalScope, Docker, NVIDIA Container Toolkit
Momentum
- Rank this week
- Not ranked yet
- Best rank
- None yet
- GitHub stars
- 158
GitHub numbers as of Nov 2, 2026. Updated weekly.
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is Bittune free?
- Yes. It is free and open source (MIT license).
- Do I need to know how to code to use Bittune?
- You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
- What does Bittune work with?
- According to its own documentation, it works with vLLM, SGLang, EvalScope, Docker, and NVIDIA Container Toolkit.
- What is Bittune good for?
- Deploying a language model on your own GPU machine, measuring throughput and latency of a model server, comparing benchmark results across model setups, and writing a traceable report of performance test runs.
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