Open Edge Platform
Intel’s Open Edge Platform 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.
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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, seven suites are featured:
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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.
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Image Composer Tool is a framework that provides a general-purpose toolchain for composing OS images from pre-built artifacts of any Linux distribution that supports Debian or RPM packages. With Image Composer Tool, you can generate edge-optimized OS images using Intel's pre-curated YAML templates or your own customization.
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Edge Microvisor Toolkit is an edge-optimized container host offering the latest Intel silicon capabilities, for exploring advanced AI workloads at the edge. It is a minimal-footprint system based on Azure Linux distribution, sharing its open source license.
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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.
Each repository includes contribution guidelines and templates for reporting issues.
You can access the platform documentation at the OEP Documentation Website.
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 the edge!
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Repositories
- image-composer-tool Public
This framework provides a general-purpose toolchain for composing OS images from pre-built artifacts of any Linux distribution that supports Debian or RPM packages. With Image Composer Tool, you can generate edge-optimized OS images using Intel's pre-curated YAML templates or your own customization.
open-edge-platform/image-composer-tool’s past year of commit activity - anomalib Public
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
open-edge-platform/anomalib’s past year of commit activity - geti-instant-learn Public
A modular framework for few-shot visual segmentation using visual prompting techniques. Enables easy experimentation with different algorithms, backbones (SAM, MobileSAM, DinoV2), and pipeline components for finding and segmenting objects from just a few examples.
open-edge-platform/geti-instant-learn’s past year of commit activity - dlstreamer Public
Deep Learning Streamer (DL Streamer) Pipeline Framework is an open-source streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines for the Cloud or at the Edge.
open-edge-platform/dlstreamer’s past year of commit activity - edge-microvisor-toolkit Public
The Edge Microvisor Toolkit is a streamlined container host that showcases Intel® silicon optimizations. Built on the Azure Linux distribution, it features a Linux kernel maintained by Intel, incorporating all the latest kernel and user patches.
open-edge-platform/edge-microvisor-toolkit’s past year of commit activity - o11y-tenant-controller Public
Observability Tenant Controller service maintains multitenancy configuration for Observability (o11y) services on Edge Orchestrator.
open-edge-platform/o11y-tenant-controller’s past year of commit activity - edge-manageability-framework Public
A comprehensive solution designed to streamline and enhance the deployment and management of infrastructure and applications at the edge
open-edge-platform/edge-manageability-framework’s past year of commit activity
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