Le projet THINK

Intel® Liftoff member, neoAI benchmarks Gaudi 2’s concurrency, speed, and production readiness on Intel® Tiber™ AI Cloud.

Waveye achieved up to 50x faster AI performance using Intel oneAPI, transforming their radar-based safety system for real-time detection. Here’s how.

Enterprises will need a full AI technology stack to maintain competitive advantage, but few have one in place today. The key question is: How do you begin building an enterprise AI stack with tools and technologies that are optimized for AI without disrupting critical operations?

The RSAC 2025 conference is just around the corner, where companies show how they use Intel products and services to achieve their cybersecurity outcomes. 

Intel is pleased to present 10 main conference papers, five workshop papers and leading the organization of two workshops at ICLR 2025

How developers can optimize performance of AI applications with Podman, Red Hat OpenShift AI, and OPEA

Highlights from Intel AI DevSummit Keynote

AI startups move fast, but enterprise integration slows them down. OPEA offers an open, production-ready foundation to build GenAI apps faster, cheaper, and with less friction.

Every technology has a lifecycle, and generative AI (GenAI) is no exception. While it continues to quickly evolve with innovations like retrieval augmented generation (RAG) and multi-agent or agentic AI, the core of generative AI large language models (LLMs) is beginning to mature. And with that maturity comes opportunities for organizations to optimize performance, increase efficiency and become more secure.

The rapid advancement of AI has captured the world’s attention and accelerated the rate of innovation across industries. Its capabilities are remarkable: different AI models can draft business proposals, solve complex math equations and automate customer service.