Le projet THINK

Manufacturing environments demand computing solutions that operate continuously under challenging conditions while delivering consistent real-time performance. We’re excited to showcase how Elementary’s breakthrough VisionStream* AI inspection system leverages Intel hardware and OpenVINO™ optimization alongside Canonical’s Ubuntu Core* to solve these challenges.

Unlock AI’s potential with Intel workstations—essential for modern business success and productivity.

Raidu built the first LLM Readability Engine. Intel® Liftoff for AI Startups program helped scale it for real-world AI workloads.

TrustGraph, an Intel Liftoff startup, is redefining enterprise AI with open-source transparency and full-stack control. See how they built it – read more now.

Intel and Fluid Inference optimized transformer models to run locally on Intel AI PCs, enabling private, real-time AI. Read on to discover how this breakthrough was achieved.

lAIbel is an open-source image labeling platform that works in any browser locally or in the cloud. Built to speed up dataset preparation for computer vision, it combines a clean GUI with AI-assisted auto-labeling.

In this article, we focus on fine-tuning the DeepSeek-R1-Distill-Qwen-1.5B Reasoning Model to improve its performance on task-specific data using Intel® Data Center GPU Max 1100 GPU.

An in-depth look at building lightweight, tool-augmented AI agents using hybrid retrieval and local LLMs for high-performance document QA.

Shadow AI is rising fast. Intel® Liftoff startups are building secure, scalable tools to protect data, ensure compliance, and bring AI safely into enterprise workflows.

Executive Summary: The cybersecurity landscape is evolving rapidly, with organizations facing increasingly sophisticated threats that traditional security measures struggle to counter. As enterprise networks grow in complexity and scale, fueled by 5G, edge computing, and AI workloads, so do the threats targeting them. AI and machine learning play a transformative role. In this blog, we explore how AI-powered network security agents—deployed using Red Hat® AI and Intel’s edge-optimized hardware—can classify encrypted traffic, detect threats in real time, and support scalable multi-agent architectures. We will cover use-cases, system architecture, pipelines, performance data, and the next steps. Enter artificial intelligence agents powered by Red Hat AI running on Intel infrastructure – a game-changing approach that brings intelligent network security directly to the edge of your network. This powerful combination is transforming how we detect, analyze, and respond to security threats in real-time.