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KServe

Free

Kubernetes-native serverless model serving platform.

Open SourceAPISelf-hostedEnterprisePython SDK

Tool Info

Categories
Deployment · Serving
Developer
CNCF
License
Open Source
Official Website
kserve.github.io/website
Repository
kserve/kserve
Official Docs

Overview

KServe provides serverless model inference on Kubernetes.

Supports TensorFlow, PyTorch, XGBoost, and custom predictors.

Pricing

Free tier available
Free (open source)

Pros

  • K8s-native
  • CNCF project
  • Canary deployments

Best For

K8s model servingServerless inferenceMulti-framework deployment

When NOT to Use

  • Requires Kubernetes
  • Steep ops learning curve

Community Insights

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Alternatives

Ray Serve
Scalable model serving library built on the Ray distributed framework.
BentoML
Unified framework for packaging and deploying ML models as APIs.

Tags

#kubernetes#serving#serverless

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