OpenVINO

Intel's flagship inference stack, OpenVINO, optimizes and deploys models across the company's whole hardware line: x86 and ARM CPUs, integrated and discrete Intel GPUs, and the NPUs in Core Ultra chips. It ingests models from PyTorch, TensorFlow, ONNX, Keras, PaddlePaddle, JAX/Flax, and TensorFlow Lite, converts them to an optimized representation, and runs them through a common API so the same application code targets edge devices or servers. Generative AI is a first-class concern, with the OpenVINO GenAI toolkit providing LLM, text-to-image, and multimodal pipelines, and Optimum Intel connecting Hugging Face Hub models directly. Installation is pip install openvino, with Anaconda, Homebrew, and npm packages also published. The toolkit is Apache-2.0 licensed with around 10.6k GitHub stars and over 22,000 commits, and documentation at docs.openvino.ai follows an annual release cadence currently on the 2026 series. Computer vision, speech, and local LLM workloads on Intel-based laptops and edge boxes are its bread and butter.