From Athletes to GenAI Developers: Intel Tackles Real-World Challenges with AI Innovations
Today, Intel shares exciting 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 put the power in the hands of developers and enterprises to tackle challenges created by the AI boom.
Through the partnership with the International Olympic Committee, Intel is dedicated to making AI accessible. By fostering an open playing field that encourages innovation and creativity, developers and enterprises can build tailored AI solutions that drive tangible results. Embracing an open and collaborative ecosystem, Intel is transforming ways to help athletes and pushing the boundaries of what’s possible with customers.
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Qualifying for the Olympic Games is only the beginning for athletes. 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.
Deploying GenAI solutions poses challenges like cost, scale, accuracy, development requirements, privacy, and security. RAG is a crucial GenAI workload because it allows companies to leverage proprietary data securely, enhancing the timeliness and reliability of AI outputs. This improves the quality and usefulness of AI applications, which is critical in today’s data-driven world.
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. The GenAI turnkey solution offers a streamlined approach to deploying RAG solutions for enterprises in their data centers and is designed to be highly 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 seamlessly with proven orchestration frameworks like Kubernetes and Red Hat OpenShift, providing standardized APIs with security and system telemetry.
With GenAI turnkey and the comprehensive enterprise AI stack, Intel delivers a complete solution addressing the challenges of deploying and scaling RAG and LLM applications within enterprises and data centers. Businesses can harness the full potential of GenAI with greater efficiency and speed.
What’s Next:
Increasing access to the latest AI compute technology is a challenge enterprises face in enabling critical business outcomes with GenAI. Through strategic collaborations with industry partners and customers, Intel is creating new opportunities for AI services driven by GenAI and RAG solutions. Committed to the secure and responsible advancement of AI, Intel announced its collaboration with Google, IBM, and other industry partners in a new Coalition for Secure AI (CoSAI), created to enhance trust and security in AI development and deployment.
Intel will demonstrate its unique approach to AI systems and continued customer and partner momentum at Intel Innovation on Sept. 24-25.
