# Optimize and deploy with Optimum-Intel and OpenVINO GenAI

DevFeed: [Optimize and deploy with Optimum-Intel and OpenVINO GenAI](<https://devfeed.tech/articles/optimize-and-deploy-with-optimum-intel-and-openvino-genai-7167.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/deploy-with-openvino>)

Author: Alexander; Yury Gorbachev; Ekaterina Aidova; Ilya Lavrenov; Raymond Lo (NVIDIA); Helena; Ella Charlaix

Published: 2024-09-20T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [C++](<https://devfeed.tech/topics/c-plus-plus.md>)

Tags: [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [api](<https://devfeed.tech/tags/api.md>), [c-plus-plus](<https://devfeed.tech/tags/c-plus-plus.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [edge](<https://devfeed.tech/tags/edge.md>), [inference](<https://devfeed.tech/tags/inference.md>), [intel](<https://devfeed.tech/tags/intel.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [optimum](<https://devfeed.tech/tags/optimum.md>), [python](<https://devfeed.tech/tags/python.md>), [quantization](<https://devfeed.tech/tags/quantization.md>)

## AI overview

A tutorial on exporting Transformer models to OpenVINO IR, optimizing LLMs with weight-only quantization, and deploying them through the OpenVINO GenAI API for edge and client devices.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.