kitio.aiMLServer vs Kubeflow
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. MLServer starts at Free and Kubeflow starts at Free. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- REST and gRPC endpoints
- V2 Inference Protocol
- Multi-model serving
- Adaptive batching
- Prebuilt framework runtimes
- Custom runtimes
- Kubeflow Pipelines
- Distributed training
- Hyperparameter tuning
- Hosted notebooks
- Model registry
- Spark Operator
| Feature | MLServer | Kubeflow |
|---|---|---|
| Best for | Open-source Python server for serving ML models over REST and gRPC | Open-source Kubernetes stack for training and serving AI models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | Seldon | Kubeflow community (CNCF) |
| Based in | United Kingdom | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
MLServer starts at Free and Kubeflow starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Nov 5, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
MLServer
- Standard protocol shared with KServe
- Wide range of ML framework runtimes
- Installs with pip
- Python 3.13 is not yet supported
- Docs page shows few recent updates
- Needs Kubernetes tooling for scaled deployments
Kubeflow
- Free and open source
- Runs on any Kubernetes cluster
- Modular, use only the parts you need
- Requires Kubernetes knowledge to operate
- Setup and upgrades take real effort
- No official managed version from the project
Which one should you choose?
Choose MLServer if you want:
- Standard protocol shared with KServe
- Wide range of ML framework runtimes
- Installs with pip
Watch out: python 3.13 is not yet supported.
Choose Kubeflow if you want:
- Free and open source
- Runs on any Kubernetes cluster
- Modular, use only the parts you need
Watch out: requires kubernetes knowledge to operate.
MLServer vs Kubeflow FAQ
What is the difference between MLServer and Kubeflow?
MLServer: Open-source Python server for serving ML models over REST and gRPC. Kubeflow: Open-source Kubernetes stack for training and serving AI models. Both are models & apis tools.
Is MLServer or Kubeflow cheaper?
MLServer starts at Free and Kubeflow starts at Free. Check both pricing pages for current plans.
Do MLServer and Kubeflow have free plans?
MLServer: Yes, fully free. Kubeflow: Yes, fully free.
Who makes MLServer?
MLServer is made by Seldon, based in United Kingdom.
Who makes Kubeflow?
Kubeflow is made by Kubeflow community (CNCF).
Which should I choose, MLServer or Kubeflow?
Choose MLServer if you value standard protocol shared with kserve and wide range of ml framework runtimes. Choose Kubeflow if you value free and open source and runs on any kubernetes cluster.