openinfer
Pure Rust CUDA LLM inference engine serving multiple models including Qwen3 and Kimi-K2
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
high-performance GPU-based inference engine for Rust developers targeting Qwen3 and Kimi-K2 using pure CUDA kernels
Good fit when
- When you are working with large language models Qwen3 and/or Kimi-K2 specifically, and want to avoid PyTorch dependencies.
- If your project requires a high-performance inference engine that is compatible with the OpenAI API, built for Rust developers.
Avoid when
- Avoid if you are developing models other than Qwen3 or Kimi-K2 as support for other models might be limited.
- Not recommended for projects where PyTorch integration is crucial as this tool does not depend on it and may require changes in existing workflows.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add openinfer crates.ioHow it fits your stack(2)
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Overview
Provides a high-performance inference solution for large language models on GPU with no dependency on PyTorch, offering an OpenAI API-compatible service.
Capability facts
- Languages
- rust
Source: github.language · Sep 20, 2026
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README
License Apache 2.0. See NOTICE for third party attributions. The Dynamo derived crate retains its original Apache 2.0 headers and NVIDIA Dynamo notice.
For agents
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