OctaiPipe Getting Started Guide#
Welcome to the OctaiPipe Getting Started Guide!
We’re thrilled to have you onboard, and are eager to help you navigate the powerful features of our cutting-edge platform. Whether you’re a seasoned machine learning expert or just starting your AI journey, OctaiPipe is designed to streamline your experience deploying models at scale.
OctaiPipe is a versatile, cross-platform Edge AI solution, carefully crafted to facilitate the end-to-end process of training, deploying, and managing models in any IoT environment. Our platform comes equipped with a variety of built-in machine learning algorithms and models, empowering businesses to effortlessly integrate AI into their products and internal processes.
Quick Links#
Custom Jupyter Image for Notebook Servers:
octaipipe.azurecr.io/custom_jupyter_img:<version number>
Key Features#
Seamless edge-cloud connectivity
Efficiently train, deploy, and operate ML systems on the edge or cloud
Federated learning at the edge
Scale up training minus the data transfer costs using collaborative, private, and secure state-of-the-art algorithms
Experimentation and model management tools
Simplify sharing, traceability, and reproducibility of ML development artefacts
Automated model monitoring and continual learning
Using intuitive MLOps tools, massively scale model lifecycle management without modifying code
Easy management of edge estate
Intuitive registration, control, and monitoring of edge device clusters
WebAssembly Inference
Our WASM Inference gives speed and security with low resource consumption, ideal for low spec devices.
Not sure where to start?#
Checkout our Quickstart or Frequently Asked Questions pages to help you get up to speed.
Contents Overview#
- Quickstart
- Installing OctaiPipe
- Federated Learning
- Data Loading and Writing Utilities
- OctaiPipe Steps
- OctaiPipe Models
- Edge Device Integration
- Running OctaiPipe Pipelines in Kubeflow
- OctaiKube
- Develop with OctaiPipe
- Installing OctaiPipe from the Azure Marketplace
- Cloud Deployment
- Tutorials
- Frequently Asked Questions
- Release Notes