GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Xinference is a unified production-ready inference API for deploying and running various models, including LLMs, on different environments.
Good fit when
- When you need a single API to deploy and run a variety of models, including LLMs, on cloud, on-premises, or local machines.
- If you require flexibility to switch between different LLMs by changing a single line of code.
Avoid when
- If you are looking for a tool that supports only a specific type of model or environment, as Xinference is designed to be versatile across multiple models and deployment environments.
- When you need a tool that does not require setting up Docker or Kubernetes for deployment, as Xinference provides detailed instructions for these setups but may not be suitable for users preferring a
- Pricing:
- freemium - The tool is open-source under the Apache-2.0 license, but additional services or support might incur costs.
- Requirements:
- Min 4 GB RAM; Requires Docker; Docker and CUDA setup are required for Nvidia GPU users.; For Kubernetes deployment, Helm is required.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install inferenceSimilar 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
Xinference provides a single API for deploying and running a variety of open-source, speech, and multimodal models, including LLMs, on different environments like cloud, on-prem, or local machines.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 18, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
via the command line, or via the Xinference’s python client. Check out our [docs]( https://inference.readthedocs.io/en/latest/gettingSource link
Tags
README
Getting Started Docs Built in Models Custom Models Deployment Docs Docker Nvidia GPU users can start Xinference server using Xinference Docker Image. Prior to executing the installation command, ensure that both Docker and CUDA are set up on your system. install xinference helm i...
For agents
This page has a .md twin and JSON over the API.