From fragmented data to production-grade agents: Nebius, Nexla and Tripadvisor at NVIDIA GTC

AI demos often struggle with real-world complexity due to reliance on fragmented data and the need for multi-step reasoning across systems, where failures are typically caused by orchestration gaps and infrastructure variability rather than model quality. To address these issues, Nexla and Nebius offer a cohesive solution by turning enterprise data into governed, agent-ready data products and ensuring reliable pipeline operation with dedicated computing infrastructure. This approach allows the creation of production-grade agent systems from raw data, as demonstrated in a live presentation at NVIDIA GTC, where Nexla, Nebius, Tripadvisor, and NVIDIA showcased a coordinated, multi-agent workflow for travel planning. The demo involved parsing video content to generate travel itineraries using Tripadvisor's dataset, highlighting the potential of AI systems in practical applications. This collaboration exemplifies the transition from prototype to production-ready AI systems capable of sustained real-time inference.

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