Pioneering the Future of Data Platforms for the Era of Generative AI

In the era of generative AI, retrieval augmented generation (RAG) is emerging as a vital tool, enabling enterprises to capitalize on their data. As data evolves and volumes grow exponentially, traditional storage solutions can no longer meet the rigorous demands of enterprise AI systems. GenAI inferencing has become a rack-scale computing workload, necessitating robust, enterprise-grade infrastructure. Discover how NVIDIA is collaborating with storage trailblazers to create a new class of accelerated data platforms — optimized for GenAI workloads and real-time RAG pipelines. Powering these next-generation systems are NVIDIA GPUs, high-performance NVIDIA networking, NVIDIA NIMs, and an AI-native data ingestion stack, delivering efficient pre-processing, storage, and retrieval at unprecedented speeds. Explore the innovations that are redefining enterprise data platforms and shaping the future of GenAI. Key Takeaways: - Understand how GenAI and RAG workloads are pushing the limits of traditional enterprise storage solutions - Discover the cutting-edge innovations enabling real-time RAG pipelines at enterprise scale - Gain insights into the collaboration between NVIDIA and storage leaders in building scalable infrastructure optimized for future enterprise AI applications Speakers: - Kevin Deierling, Senior Vice President, Networking, NVIDIA - Sunil Gupta, Co-Founder, Managing Director, and Chief Executive Officer, Yotta Data Centres - Mike Tso, CEO and Co-Founder, Cloudian