Intel’s Open Edge Platform (GitHub repository) (documentation website) is a secure, optimized open platform for delivering scalable edge solutions.
It offers a modular, composable software stack that brings together the open source ecosystem to help you build optimized edge and AI solutions and securely operationalize them with cloud-like capabilities.
- Edge AI Suites are curated collections of building blocks, industry-specific libraries, and sample applications designed to help you develop optimized AI solutions tailored to specific use cases. Currently, five suites are featured: Metro, Manufacturing, Retail, Robotics, and Education.
- Edge AI Libraries provide edge-optimized, composable libraries, SDKs, and microservices to support the development of performant, production-grade multimodal edge AI applications, along with user-friendly workflows for optimization and deployment.
- Edge Manageability Framework provides capabilities and building blocks for secure onboarding, provisioning, and management of edge devices and edge node software, along with orchestration of edge and AI applications and clusters at scale.
- Edge Microvisor Toolkit is an edge-optimized container host with a minimal footprint, designed to harness the latest Intel silicon capabilities for deploying advanced AI workloads at the edge.
- Edge Workloads and Benchmarks are performance-optimized pipelines that leverage the OpenVINO™ toolkit, the GStreamer multimedia framework, and the Deep Learning Streamer (DL Streamer) for validating media and edge AI analytics benchmarks.
Each repository includes contribution guidelines and templates for reporting issues.
Unless otherwise noted, the platform’s repositories are primarily released under the Apache 2.0 license.
Join our community and help shape the future of edge!
