AI doesn’t fail because the models aren’t good enough; it fails because the infrastructure can’t keep up. Behind every successful AI deployment is a complex system of compute, orchestration, and data pipelines that must perform reliably under pressure. In this session, leaders from NVIDIA and Nebulai break down what it really takes to run AI in production. From optimizing GPU performance and managing distributed environments to controlling cost and maintaining system integrity, the conversation will focus on the decisions that separate experiments from real systems. The discussion will also explore a critical but often overlooked layer: security. As AI systems scale, so do the risks. Learn how organizations are building infrastructure that is not only powerful, but resilient, trusted, and ready for real-world deployment.
Speakers
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Start Date
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Location
eMerge AI + DEEP TECH Stage
Topics
Deep Tech, Tech for Enterprise, AI