Intel OpenVINO 发布: 2026.0.0

来源摘要

### Summary of major features and improvements * #### More GenAI coverage and framework integrations to minimize code changes * New models supported on CPUs & GPUs: GPT-OSS-20B, MiniCPM-V-4_5-8B, and MiniCPM-o-2.6​ * New models supported on NPUs: MiniCPM-o-2.6. In addition, NPU support is now available on Qwen2.5-1.5B-Instruct, Qwen3-Embedding-0.6B, Qwen-2.5-coder-0.5B.​ * OpenVINO™ GenAI now adds word-level timestamp functionality to the Whisper Pipeline on CPUs, GPUs, and NPUs, enabling more accurate transcriptions and subtitling in line with OpenAI and FasterWhisper implementations.​ * Phi-3-mini FastDraft model is now available on Hugging Face to accelerate LLM inference on NPUs. FastDraft optimizes speculative decoding for LLMs. * #### Broader LLM model support and more model compression techniques * With the new int4 data-aware weight compression for 3D MatMuls, the Neural Network Compression Framework enables MoE LLMs to run with reduced memory, bandwidth, and improved accuracy compared to data-free schemes-delivering faster, more efficient deployment on resource-constrained devices.​ * Preview: the Neural Network Compression Framework now supports per-layer and per-group Look-Up Tables (LUT) for FP8-4BLUT quantization. This enables fine-grained, codebook-based compression that reduces model size and bandwidth while improving inference speed and accuracy for LLMs and transformer workloads. * #### More portability and performance to run AI at the edge, in the cloud, or locally. * Preview: OpenVINO™ GenAI adds VLM pipeline support to enhance Agentic AI framework integration.​ * OpenVINO GenAI now supports speculative decoding for NPUs, delivering improved performance and efficient text generation through a small draft model that is periodically validated by the ful