VIDEO
Architecting AI Infrastructure for the Age of Reasoning
As AI moves beyond training into fine-tuning and large-scale inference, enterprise infrastructure requirements are rapidly evolving. In this episode, Charlie Boyle from NVIDIA, and Nilesh Patel from WEKA discuss how modern AI platforms must support the full AI lifecycle—training, adaptation, and production inference—on a unified architecture.
The conversation explores how enterprises are designing scalable AI factories to support pretrained models, reasoning workloads, and real-world production applications, drawing on lessons learned from building AI infrastructure at scale with NVIDIA and WEKA.
The conversation explores how enterprises are designing scalable AI factories to support pretrained models, reasoning workloads, and real-world production applications, drawing on lessons learned from building AI infrastructure at scale with NVIDIA and WEKA.