Intel® Distribution of OpenVINO™ Toolkit

Optimize and deploy AI workloads across Intel® architectures with unmatched performance and efficiency.

Core Capabilities

Transform AI development with cross-architecture optimization and deployment.

Optimize deep learning inference across CPUs, GPUs, VPU, and other accelerators.

Integrate ML models from frameworks like TensorFlow, PyTorch, or ONNX into optimized inference workloads.

Achieve up to 1000FPS inference performance for computer vision tasks with Intel hardware.

Deploy in edge, cloud, or embedded environments with containerized and runtime support.

How developers are using OpenVINO to revolutionize AI workloads in production environments.

Enable real-time defect detection on production lines using low-power VPU accelerators.

Computer vision systems for object detection and decision-making under 2ms latency constraints.

Distributed video processing infrastructure analyzing 100K+ camera feeds in parallel.

Everything you need to start optimizing your AI workloads with OpenVINO.

Complete API guides, tutorials for model conversion and deployment to Intel hardware.

Access the latest tooling source code, samples, and model examples.

Download the latest release and start harnessing hardware-optimized performance.