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openinfer

openinfer-project/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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705 stars107 forksLast push Sep 18, 2026 Rust Apache-2.0

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.io

How it fits your stack(2)

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Evidence and technical details

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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

Categories

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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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