What’s New in Open Edge Platform 2026.1 (June 17, 2026)#

Open Edge Platform

For information on specific components, refer to the following sections:

Metro AI Suite#

This release expands

See the release notes of specific Metro AI components:

Manufacturing AI Suite#

Manufacturing AI Suite has

See the release notes of specific Manufacturing AI components:

Robotics AI Suite#

Autonomous M

See the release notes of specific Robotics AI components:

Retail AI Suite#

Automated Self-Checkout .

Loss Prevention .

The Order Accuracy .

See the release notes of specific Retail AI components:

Education AI Suite#

Education AI Suite 2026.1, This release also introduces .

The Smart Classroom application now offers

See the Release Notes for Smart Classroom

Health and Life Sciences AI Suite#

A

See the Release Notes for Multi-Modal Patient Monitoring

Edge AI Libraries#

nts.

Deep Learning Streamer#

Deep .

For a detailed listing of all the changes, see the Release notes for Deep Learning Streamer 2026.1.

SceneScape#

SceneScape .

Visual Pipeline and Platform Evaluation Tool#

ViPPET’s 2026.1 release .

For a detailed listing of all the changes, see the Release notes for ViPPET 2026.1.

Geti™ Instant Learn#

Geti Instant Learn is an open‑source application designed for developing, benchmarking, and deploying zero‑shot and few‑shot visual prompting algorithms. It is optimized for Intel edge hardware and enables users to build AI solutions quickly using open vocabulary models. The application includes a unified Python library for research and a full‑stack deployment application.

For a detailed listing of all the changes, see the Release notes for Geti™ Instant Learn 2026.1.

Anomalib Studio#

Anomalib Studio is an open‑source application for developing, benchmarking, and deploying unsupervised anomaly detection algorithms on Intel edge hardware. It unifies the Anomalib Python library with a full‑stack application that enables users to train and deploy anomaly detection models on images or video streams. The platform provides access to the largest public collection of state‑of‑the‑art deep learning anomaly detection algorithms and datasets, with built‑in acceleration via OpenVINO™ and flexible backends for both research and optimized deployment.

For a detailed listing of all the changes, see the Release notes for Anomalib 2026.1.

Physical AI Studio#

Physical AI Studio is an end‑to‑end framework for developing, training, benchmarking, and deploying Vision‑Language‑Action (VLA) models for robotic imitation learning. It simplifies the entire pipeline — from demonstration capture and robot calibration, through policy training, to deployment on Intel hardware using OpenVINO™, ONNX, or Torch runtimes. It provides a unified ecosystem supporting GUI, CLI, Python APIs, distributed training, and evaluation on standardized robotics benchmarks.

For a detailed listing of all the changes, see the Release notes for Physical AI Studio.

See the release notes of individual components:

Libraries:

Microservices:

Tools:

Sample applications:

Edge Microvisor Toolkit#

For Open Edge Platform 2026.1, Edge Microvisor Toolkit 25.06.02 brings NPU driver support and improved build toolchain. It also offers improvements, optimizations and updates to the repository architecture, compatibility, and documentation.

Importantly, this release brings an additional version of the toolkit. While 25.06.02 is based on kernel 6.12, the 26.06-preview version is designed to support the latest Intel hardware, using kernel 6.17. Tested only on Panther Lake, it gives you an early view of the future release’s functionality.

For a detailed change log, see Release Notes for Edge Microvisor Toolkit.

Edge Manageability Framework#

EMF

Image Composer Tool#

Image Composer Tool 2026.1 brings

See the Release Notes for Image Composer Tool 2026.1.