GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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 Sep 19, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 19, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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] · Sep 19, 2026
- Languages
- c++, python
Source: github.language+pyproject.toml · Sep 19, 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 Quick Start Launch xLLM Online Service Offli...
For agents
This page has a .md twin and JSON over the API.