In this episode of Tech Field Day Takeaways from AI Infrastructure Field Day, Alastair Cooke, shares key insights from the event, highlighting how AI infrastructure must align with each phase of the AI pipeline—from data ingestion to training, fine-tuning, and inference. Training phases demand high GPU and memory throughput, while inference, often the dominant workload, benefits from strategies like SSD caching to handle growing model sizes. To ensure performance and scalability, network design must prioritize high throughput and traffic segregation between GPUs, storage, and applications.

Alastair Cooke: https://techfieldday.com/people/alastair-cooke/
Event Information: https://techfieldday.com/event/aiifd2/

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