Open Source
Kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Our verdict
We have not reviewed Kserve yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Kserve
Kserve is a standardized platform for deploying machine learning models on Kubernetes, supporting both generative and predictive inference. It handles multi-framework serving, scaling, and resource management for distributed AI workloads.
Best for
Teams already using Kubernetes who need a scalable, multi-framework inference server
Use cases
- Deploy large language models in production on Kubernetes
- Run batch predictions with autoscaling and canary rollouts
- Serve models from TensorFlow, PyTorch, and other frameworks via a unified API
Notes
5,534 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Pros
- Open source with strong community backing and 5500+ stars
- Supports autoscaling, canary deployments, and request routing
- Works on any Kubernetes cluster with minimal vendor lock-in
Cons
- Steep learning curve for operators unfamiliar with Kubernetes
- Complex configuration for advanced serving topologies
- Observability features require additional tooling like Prometheus
Key facts
What we have checked
- Latest version
- 0.21.0 (released 25 Sept 2026)
- GitHub stars
- 6,000
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Kserve is growing
5,534 to 6,000
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.21.0
Released 0.21.0-rc1
Released 0.21.0-rc0
Released 0.20.0
Released 0.20.0-rc1
Released 0.20.0-rc0
Released 0.18.1
Released 0.19.0
Released 0.19.0-rc0
Released 0.17.1
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Keras
Community
Deep Learning for humans
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn
Community
scikit-learn: machine learning in Python
TensorFlow
Community
An Open Source Machine Learning Framework for Everyone
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.