Modelbit
Platform for deploying ML models from notebooks to production APIs
About Modelbit
Modelbit lets data science teams deploy machine learning models, including GPU-based ones, directly from Python notebooks or Git to production endpoints. It aims to remove infrastructure work between model development and serving.
Common use cases
- Serve ML models via API
- Deploy GPU models
- Run batch inference
- Version model releases
Products and services
Modelbit
Model deployment and inference hosting platform
Key features
- Notebook deployment
- Git integration
- GPU inference
- REST endpoints
- Versioning
- Monitoring
Integrations
- GitHub
- Snowflake
- Python
- Hugging Face
Modelbit alternatives
FAQs
What does it do?
Deploys trained models as production endpoints.
Does it support GPUs?
Customer testimonials on its site reference GPU deployments.
Does it integrate with Git?
Yes, deployments can update when code is pushed.
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