Open Edge Platform Documentation#
Sample applications to accelerate development of solutions for Edge AI use cases such as: video, safety and security, smart city, and transportation.
A comprehensive toolkit to build, deploy, and scale AI applications in industrial environments.
A framework designed to accelerate AI workload evaluation and hardware selection for several point-of-sale use cases at the edge.
A collection of robotics applications spanning AI, libraries, samples, benchmarking, and more to help developers quickly build solutions.
A collection of libraries, microservices, and tools for Edge AI application development. It includes ingredients for building production-quality multimodal edge AI apps, as well as sample applications to showcase generic AI use cases.
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.
Onboarding, provisioning, and management of edge devices and edge node software, along with orchestration of AI applications and clusters at scale.