pegainfer-project/pegainfer
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
- Stars
- 737
- Forks
- 121
- Language
- Rust
- License
- Apache-2.0
- Last commit
- updated Nov 2026
Straight from GitHub
Nobody has written up this repo. Everything on this page comes straight from the GitHub API, so there is no founder write-up, no pros and cons, and no difficulty rating — rather than a generated guess at them.
Maintenance
Pushed within three months of the last stats read (as of Nov 6, 2026).
Licence
Apache-2.0
Tech stack
Primary language: Rust. GitHub reports only the dominant language, so this is not the whole stack.
Install
No install command has been verified for this repo. Follow the README rather than a guess.
Quality score
Computed by the discovery import when this entry was added.
- Recent activity×0.30
- 1.00
How recently the default branch was pushed to.
- Adoption×0.20
- 0.61
Stars on a log scale, so adoption counts without dominating.
- Description and topics×0.15
- 1.00
Whether the repo describes itself: description, topics, homepage.
- README present×0.15
- 1.00
Whether the repository has a README at all.
- Licence clarity×0.10
- 1.00
Whether GitHub can resolve the licence to a recognised SPDX id.
- Issue health×0.10
- 0.60
Open issues relative to adoption, as a rough maintenance signal.
Similar repos
Same category, ranked by shared topics.
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
3k starsPythonApache-2.0updated Nov 2026AI & MLA high-throughput and memory-efficient inference and serving engine for LLMs
96.5k starsPythonApache-2.0updated Nov 2026AI & MLSGLang is a high-performance serving framework for large language models and multimodal models.
38.5k starsPythonApache-2.0updated Nov 2026AI & MLA GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
6k starsPythonApache-2.0updated Nov 2026AI & ML
Stats updated Nov 6, 2026. Stars, forks, issue counts, and dates are a snapshot read from the GitHub REST API, not a live figure. This site makes no requests to GitHub when you load a page.