OpenVINO

What OpenVINO is

OpenVINO is a free, open-source toolkit for accelerating AI inference, reducing model footprint, and making more efficient use of hardware. It supports deep learning work in computer vision, large language models, and generative AI. The toolkit accepts models from PyTorch, TensorFlow, TensorFlow Lite, PaddlePaddle, and ONNX, with OpenVINO IR also listed as a model format. C++, Python, C, and NodeJS APIs are available; the NodeJS API is described as early and actively developed. Models can be deployed across Intel hardware on-premises, on-device, in a browser, or in the cloud. NNCF offers training-time and post-training compression methods such as pruning, sparsity, quantization, and weight compression. For serving, OpenVINO supports OpenVINO Model Server and integrates with vLLM and Triton. Packages are listed for Windows, macOS, and Linux, with the listed macOS package for macOS 12.6 and later. OpenVINO does not provide model encryption, decryption, or authentication; its security guidance points to third-party tools for those protections. Listed help channels include an Intel community forum, Intel Support, GitHub issues, and Stack Overflow.