Inference & serving
KServe
Standardized Kubernetes lifecycle and deployment controls across multiple inference runtimes.
Overview
Research summary
KServe is a Kubernetes inference platform for deploying generative and predictive AI models through a standardized control plane. It integrates serving runtimes and provides infrastructure features such as scaling, model loading, inference protocols, and accelerator-aware deployment. Its generative AI support includes integration with engines such as vLLM and distributed inference components. Platform teams use KServe to manage model services consistently inside Kubernetes instead of treating each server as an unrelated application. The project requires cluster infrastructure and is distinct from the model engines it orchestrates.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for KServe.
Implementation details
Go Kubernetes operators and inference-serving components
- Languages
- Go
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://kserve.github.io/website/ Project page
- https://github.com/kserve/kserve Linked repository · Research reference
- https://kserve.github.io/website/docs/intro Documentation
- https://github.com/kserve/kserve/blob/master/README.md Research reference
- https://api.github.com/repos/kserve/kserve Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/kserve/kserve/discussionsOfficial
Link details for GitHub Discussions
- Last checked