In this podcast episode, Paresh Gupta and Nicholas explore the challenges of building generative AI applications on-premises, specifically for enterprises dealing with sensitive data. They discuss the key technical and operational elements involved in setting up a 256 GPU cluster, stressing the importance of effective network design, communication strategies, and the need to reduce network congestion while maintaining quality of service (QoS) for optimal performance. Highlighted is the innovative INAM application, which acts as a context-aware tool, demonstrating how existing Cisco infrastructure can be leveraged to enhance efficiency and meet the increasing demands of AI and machine learning workloads.
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