Explore NVIDIA Vera Rubin and how CoreWeave engineers rack-scale cloud infrastructure to support reasoning, agentic AI, and next-generation AI workloads.

Explore the fully loaded economics of AI from training through inference, including cloud costs, performance, hidden cost drivers, and production-scale token economics.

See how leading LLMs tackle real engineering challenges and discover where AI excels, where it falls short, and what it means for the future of engineering.

See how engineering teams turn existing build and test data into validated physical AI workflows that improve calibration decisions and reduce repetitive physical testing.

Four global EV battery and AI leaders analyse critical findings from the 2024 AI in EV Battery Validation study and give their outlook on the industry.

How engineers accelerate vehicle development with AI-based virtual testing, replacing expensive, time-intensive prototype tests with data-driven models. 

A 15-minute deep dive into Monolith time series models and the untapped opportunities series data offers over conventional structured tabular data. 

A fireside chat on the first-ever State of AI in Engineering study, commissioned by CoreWeave and conducted by Forrester Consulting across 163 R&D leaders.

See how AI-guided anomaly detection finds errors in engineering test data faster, offloading engineers from tedious inspection and reducing costly retesting.

CoreWeave Physical AI and About:Energy have partnered to accelerate the development and testing of next-generation EV batteries for OEMs and cell manufacturers.

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