Optimum Intel 2.0: An OpenVINO-First Toolkit for Running Open Models on Intel

Optimum Intel 2.0 is a major update to the library, now focusing on being an OpenVINO-first toolkit, streamlining the installation process, and providing day-one support for the latest open models. The update simplifies the user experience by removing the Intel Neural Compressor and Intel Extension for PyTorch integrations, previously deprecated, and eliminating the ONNX dependency, while installing OpenVINO and NNCF by default. This version enhances quantization and inference capabilities, allowing efficient deployment of models on Intel hardware such as CPUs, Arc GPUs, and Core Ultra NPUs. Users can benefit from smarter quantization, improved compression, and compatibility with modern architectures, making it suitable for deploying open models on Intel hardware, building on-device or edge AI, and working across various modalities like text, vision-language, speech, and video. The update offers a consistent API for these tasks, making it an appealing option for those looking to efficiently run the newest open models locally on Intel silicon.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.