Intel's OpenVINO 2025.2 Brings Support For New Models, GenAI Improvements
Intel open-source software developers this week released OpenVINO 2025.2 as the latest update to this prominent free software AI toolkit.
This quarterly update to the OpenVINO AI toolkit adds support for new large language models (LLMs) for execution on both CPUs and GPUs. Newly-supported models include Phi-4, Mistral-7B-Instruct-v0.3, SD-XL Inpainting 0.1, Stable Diffusion 3.5 Large Turbo, Phi-4-reasoning, Qwen3, and Qwen2.5-VL-3B-Instruct. Additionally, Mistral 7B Instruct v0.3 with OpenVINO can also run atop Intel NPUs.
OpenVINO 2025.2 has also been preparing a GenAI text-to-speech pipeline for the SpeechT5 TTS model, a GGUF reader for seamless integration of Llama.cpp based LLMs, and other enhancements.
OpenVINO 2025.2 also brings new optimizations for Intel Core Ultra Series 2 SoCs as well as Intel Arc B-Series (Battlemage) graphics cards. There is also better Linux support now for Intel Arrow Lake H platforms, the key-value cache compression for CPUs is now enabled by default for INT8, NPU support for FP16-NF4 precision on Intel Lunar Lake SoCs for models up to 8B parameters, and other improvements.
Downloads and more details on the new OpenVINO 2025.2 release via GitHub.
This quarterly update to the OpenVINO AI toolkit adds support for new large language models (LLMs) for execution on both CPUs and GPUs. Newly-supported models include Phi-4, Mistral-7B-Instruct-v0.3, SD-XL Inpainting 0.1, Stable Diffusion 3.5 Large Turbo, Phi-4-reasoning, Qwen3, and Qwen2.5-VL-3B-Instruct. Additionally, Mistral 7B Instruct v0.3 with OpenVINO can also run atop Intel NPUs.
OpenVINO 2025.2 has also been preparing a GenAI text-to-speech pipeline for the SpeechT5 TTS model, a GGUF reader for seamless integration of Llama.cpp based LLMs, and other enhancements.
OpenVINO 2025.2 also brings new optimizations for Intel Core Ultra Series 2 SoCs as well as Intel Arc B-Series (Battlemage) graphics cards. There is also better Linux support now for Intel Arrow Lake H platforms, the key-value cache compression for CPUs is now enabled by default for INT8, NPU support for FP16-NF4 precision on Intel Lunar Lake SoCs for models up to 8B parameters, and other improvements.
Downloads and more details on the new OpenVINO 2025.2 release via GitHub.