Intel Tackles Real-World Challenges with AI Systems
Intel reports that it is empowering GenAI developers and athletes around the globe with open and accessible AI systems.
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Intel is providing spectators in Paris the opportunity to experience the latest AI technology. Image courtesy of Paris 2024/Florian Hulleu.
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July 18, 2024
Intel shares details on its collaboration with the International Olympic Committee (IOC) and on an industry-driven generative AI (GenAI) retrieval-augmented generation (RAG) solution. These announcements demonstrate how open AI systems and platforms using Intel Gaudi AI accelerators and Intel Xeon processors helps tackle challenges created by the AI boom.
“Through our partnership with the International Olympic Committee, we are demonstrating our dedication to making AI accessible. We're fostering an open playing field that encourages innovation and creativity and enables developers and enterprises to build tailored AI solutions that drive tangible results. By embracing an open and collaborative ecosystem, Intel is transforming ways to help our athletes and pushing the boundaries of what’s possible with our customers,” says Justin Hotard, Intel executive vice president and general manager of the Data Center and Artificial Intelligence Group.
How Athlete365 Works
To help about 11,000 athletes with varying languages and cultures navigate the venue and comply with rules and guidelines, the IOC collaborated with Intel to develop a chatbot, Athlete365. A RAG solution powered by Intel Gaudi accelerators and Xeon processors, Athlete365 is capable of handling athlete inquiries and interactions and will deliver on-demand information during athletes’ stay at the Olympic Village in Paris, enabling them to focus on training and competing, according to Intel.
Deploying GenAI solutions poses challenges like cost, scale, accuracy, development requirements, privacy and security. RAG is a GenAI workload because it allows companies to leverage proprietary data securely.
Intel’s collaborative approach utilizing AI platforms, open standards, and a software and systems ecosystem allows developers to build customized GenAI RAG solutions tailored to each enterprise’s needs.
How the GenAI RAG Solution Architecture Works
Intel works with industry partners to create an open source, interoperable solution for easy RAG deployment. The GenAI solution is an industry-driven, out-of-the-box, production-ready RAG solution built on the Open Platform for Enterprise AI (OPEA) foundation, according to Intel. While the GenAI turnkey solution offers a streamlined approach to deploying RAG solutions for enterprises in their data centers, it is designed to be flexible and customizable, integrating components from a catalog of offerings by multiple OEM systems and industry partners.
The GenAI turnkey solution integrates OPEA-based microservice components into a scalable RAG solution designed to deploy Xeon and Gaudi AI systems. It scales withorchestration frameworks like Kubernetes and Red Hat OpenShift and provides standardized APIs with security and system telemetry.
Committed to the secure and responsible advancement of AI, Intel also announced its collaboration with Google, IBM and other industry partners in a new Coalition for Secure AI (CoSAI), created to enhance security in AI development and deployment.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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