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KServe vs Runpod Serverless

What both publish

FactKServeRunpod Serverless
IntegrationsDocumented integrations include Istio, Knative Serving, Envoy Gateway, Envoy AI Gateway, and the vLLM runtime.The documentation describes OpenAI-compatible endpoint integration with tools including n8n, CrewAI, and LangChain.
PurposeKServe is a Kubernetes platform for serving generative and predictive AI models across multiple frameworks.Runpod Serverless runs containerized AI inference workloads behind API endpoints and scales workers based on demand.
SupportUsers can get help through the documentation, the #kserve Slack channel, GitHub Discussions, and community meetings.Runpod documentation directs users to submit a support request, check the service status page, or join its Discord community.

KServe plans

No prices published.

Runpod Serverless plans

  • Serverless GPU endpoint (141GB H200)Free
  • Serverless GPU endpoint (16GB class)Free
  • Serverless GPU endpoint (24GB class)Free
  • Serverless GPU endpoint (32GB 5090)Free
  • Serverless GPU endpoint (32GB RTX PRO 4500 Blackwell)Free
  • Serverless GPU endpoint (48GB A6000/A40)Free

Pick KServe if…

You want what its maker publishes above — check its page for the details.

Pick Runpod Serverless if…

You want what its maker publishes above — check its page for the details.

Charts they share