GraphCanon updated 1mo · GitHub synced 1mo
1.5k stars269 forksLast push 1mo C++ Apache-2.0
Decision brief
A high-performance inference engine for LLM, VLM, DiT, and REC models by the OpenAtom Foundation.
Good fit when
- When developing applications that require optimized performance on various AI accelerators
- For projects involving deepseek, glm, Qwen large language models
Avoid when
- If your project strictly requires Python-based inference engines for backend support
- In cases preferring proprietary licenses over the Apache-2.0 open-source framework used here
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 1mo
- Provenance
- Not a fork · Organization account
- As of 1mo
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/xLLM-AI/xllmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Hosted by the OpenAtom Foundation, this C++-based repository offers optimized performances across diverse AI accelerators.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 25, 2026
- Languages
- c++, python
Source: github.language+pyproject.toml · Jul 25, 2026
Categories
Tags
README
Hardware Support
| Hardware | Abbreviation | Example | Remark |
|---|---|---|---|
| Ascend NPU | NPU | A2, A3 | HDK Driver 25.2.0 + |
| Cambricon MLU | MLU | MLU | |
| Moore Threads GPU | MUSA | S5000 | |
| Hygon DCU | DCU | BW1000 | |
| MetaX MACA | MACA | MXC500 | |
| Iluvatar CoreX GPU | ILU | BI150 |
Getting Started
For agents
This page has a .md twin and JSON over the API.