Optimize and deploy with Optimum-Intel and OpenVINO GenAI

This blog post provides a step-by-step guide on optimizing and deploying Hugging Face Transformers models using Optimum-Intel and OpenVINO GenAI, focusing on edge and client-side deployment with C++ and Python. It covers environment setup, exporting models to OpenVINO IR, weight-only quantization (including INT4/INT8 with AWQ and scale estimation), and deployment using the OpenVINO GenAI API.

From the source
This blog will guide you through optimizing and deploying Hugging Face Transformers models using Optimum-Intel and OpenVINO™ GenAI, ensuring efficient AI inference with minimal dependencies.
huggingface.co

Visit source ↗huggingface.co

Announced: 20 Sep 2024 00:00 UTC
Detected: 03 Aug 2026 21:12 UTC (+682d after)

Other stories

Hugging Face · 28 AugThe Open ASR Leaderboard Adds Its First Global South LanguageCapability change

Amazon · 31 AugConnect an AgentCore Runtime hosted MCP server to Amazon QuickCapability change

Amazon · 31 AugAWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025Company news

Amazon · 31 Aug

Manage agents, tools and skills at scale with AWS Agent Registry

Amazon · 31 AugBuild observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormationInfrastructure

Amazon · 31 AugBuild multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed Knowledge Base