Open Edge Platform Documentation#
Here you will find user documentation for Open Edge Platform products.
As more components are published, more documentation sets will become available.
Accelerate your solution development and optimization with industry-specific Edge AI Suites:
Leverages advanced AI algorithms to monitor and analyze real-time video feeds, identifying individuals lingering in designated areas.
Performs near real-time analysis and image-based search to detect and retrieve objects of interest in large video datasets.
Effortlessly manage parking spaces with AI-driven video analytics for real-time insights and enhanced efficiency.
Prevent defects in real time with AI-powered monitoring.
Composable ingredients for building production-quality multimodal edge AI apps:
The Model Registry microservice provides a centralized repository that facilitates the management of AI models.
Assess Intel® hardware options, benchmark performance, and analyze key metrics to optimize hardware selection for AI workloads.
ChatQ&A sample application is a foundational Retrieval-Augmented Generation (RAG) pipeline that allows users to ask questions and receive answers, including those based on their own private data corpus.
Lightweight operating system based on Azure Linux and optimized for Intel® architecture. As a container-first, immutable OS, it is a perfect foundation for high-performance edge computing workloads that benefit from scalability and ease of management.
A set of documents giving an overview of the toolkit.
Onboarding, provisioning, and management of edge devices and edge node software, along with orchestration of AI applications and clusters at scale.
Product documentation, including both user and developer guides, as well as deployment instructions and API reference.