NVIDIA Morpheus is an open AI application framework that provides cybersecurity developers with a highly optimized AI framework and pre-trained AI capabilities that allow them to instantaneously inspect all IP traffic across their data center fabric. The Morpheus developer framework allows teams to build their own optimized pipelines that address cybersecurity and information security use cases. Bringing a new level of security to data centers, Morpheus provides development capabilities around dynamic protection, real-time telemetry, adaptive policies, and cyber defenses for detecting and remediating cybersecurity threats.
- Getting Started with Morpheus - Using pre-built Docker containers, building Docker containers from source, and fetching models and datasets
- Morpheus CLI Overview - Brief overview of the
morpheuscommand line interface - Building a Pipeline - Introduction to building a pipeline using the command line interface
- Morpheus Examples - Example pipelines using both the Python API and command line interface
- Pre-built Models and Datasets - Pretrained models with corresponding training, validation scripts, and datasets
- Developer Guides - Covers extending Morpheus with custom stages
- Contributing to Morpheus - Covers building from source, making changes and contributing to Morpheus
- Morpheus Cloud Deployment Guide - Kubernetes and cloud based deployments
Full documentation for the latest official release is available at https://docs.nvidia.com/morpheus/.
