|
- Intel® Distribution of OpenVINO™ Toolkit
Community assistance about the Intel® Distribution of OpenVINO™ toolkit, OpenCV, and all aspects of computer vision-related on Intel® platforms
- OpenVINO 2025. 2 Available Now! - Intel Community
We are excited to announce the release of OpenVINO™ 2025 2! This update brings expanded model coverage, GPU optimizations, and Gen AI enhancements, designed to maximize the efficiency and performance of your AI deployments, whether at the edge, in the cloud, or locally What’s new in this release:
- OpenVINO™ Toolkit Execution Provider for ONNX Runtime — Installation . . .
The OpenVINO™ Execution Provider for ONNX Runtime enables ONNX models for running inference using ONNX Runtime API’s while using OpenVINO™ toolkit as a backend With the OpenVINO™ Execution Provider, ONNX Runtime delivers better inferencing performance on the same hardware compared to generic acceleration on Intel® CPU, GPU, and VPU
- OpenVINO™ 2024. 6 Available Now! - Intel Community
We are excited to announce the release of OpenVINO™ 2024 6! In this release, you’ll see improvements in LLM performance and support for the latest Intel® Arc™ GPUs! What’s new in this release: OpenVINO™ 2024 6 release includes updates for enhanced stability and improved LLM performance Support f
- OpenVINO 2025. 1 Available Now! - Intel Community
OpenVINO™ Model Server now supports VLM models, including Qwen2-VL, Phi-3 5-Vision, and InternVL2 OpenVINO GenAI now includes image-to-image and inpainting features for transformer-based pipelines, such as Flux 1 and Stable Diffusion 3 models, enhancing their ability to generate more realistic content
- Llama2-7b inference using openvino-genai - Intel Community
Hi Shravanthi, Thanks for reaching out Can you share the screenshot of your TinyLlama directory? Does openvino_tokenizer ( xml and bin) files available in the directory? I have exported the TinyLlama but the files are not available from my end When exporting the LLM models, the directory should include the openvino_tokenizer files Below are the files when exporting mistral-7b-instruct-v0 1
- Installing openvino raspberry pi 4 - Intel Community
Hence, we additionally provide OpenVINO™ Runtime archive file for Debian Since, this package doesn’t include Model Optimizer Model Downloader, the ideal scenario is to use another machine to convert your model with Model Optimizer, then do your application development on the Raspberry Pi for a convenient build test cycle on the target
- Solved: OpenVION GenAI chat_sample on NPU - Intel Community
Solved: Hello Intel Experts! I am currently testing out the chat_sample from `openvino_genai_windows_2025 0 0 0_x86_64` on the NPU From
|
|
|