product
Data quality: Editorially ReviewedProcess automation
Free
AI infrastructure & hosting
Self-hosted / on-premises
Private cloud / VPC
Model Serving
On-device / edge
Model inference
Cross-industry / Horizontal
KServe
AI infrastructure & hosting
Overview
KServe provides Kubernetes-native model serving for predictive and generative AI. It supports standard inference protocols, autoscaling, canary rollouts, GPU acceleration, and integration with model-storage and observability systems.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, Private cloud / VPC, On-device / edge
- Regions served
- Global
- Categories
- Process automation, Free, AI infrastructure & hosting, Self-hosted / on-premises, Private cloud / VPC, Model Serving, On-device / edge, Model inference, Cross-industry / Horizontal
- Last updated
- 6 October 2026
- Published
- 6 October 2026
Use cases
Process automation
Deployment options
Self-hosted / on-premises
Private cloud / VPC
On-device / edge
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- kserve.github.io
- Sources cited
- 1
- Last reviewed
- 5 October 2026
- Last updated
- 6 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.