product
Data quality: Editorially ReviewedFree
API / SDK
Self-hosted / on-premises
MLOps & model tooling
Healthcare & life sciences
Computer vision
Multimodal
ML lifecycle & data
Medical imaging
NVIDIA MONAI
MLOps & model tooling
Overview
MONAI is a PyTorch-based open-source framework for medical imaging AI. It includes domain-specific tools, workflows, and pretrained models that help developers build segmentation, registration, reporting, and multimodal imaging applications.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, API / SDK
- Regions served
- Global
- Categories
- Free, API / SDK, Self-hosted / on-premises, MLOps & model tooling, Healthcare & life sciences, Computer vision, Multimodal, ML lifecycle & data, Medical imaging
- Last updated
- 4 October 2026
- Published
- 4 October 2026
Use cases
Medical imaging
ML lifecycle & data
Deployment options
Self-hosted / on-premises
API / SDK
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- monai.io
- Sources cited
- 1
- Last reviewed
- 29 September 2026
- Last updated
- 4 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.