Hardware always matters, especially in AI and now software is automating your AI data centre infrastructure. This episode of the Tech Field Day podcast features Gina Rosenthal, Barton George, Andy Banta, and Alastair Cooke. Generative AI brought new hardware into enterprise data centres; GPUs, TPUs, NPUs, XPUs all offload AI processing from CPUs for more performance and efficiency. Feeding these accelerators requires fast networks and fast storage, common topics for AI Infrastructure Field Day events. In parallel, sophisticated software to automate the deployment and operation of this new hardware is vital to return value fast and optimize the value from the hardware investment. Automation platforms are moving up towards delivering multiple AI applications on shared XPU infrastructure, where AI inference delivers the business value.
Pushing the Boundaries of AI Performance, Scale, and Innovation at AI Infrastructure Field Day 3

Tech Field Day is heading back in Santa Clara, California on September 10th and 11th for AI Infrastructure Field Day 3. You can watch live on the Tech Field Day website, LinkedIn Page, or Techstrong TV to see how the boundaries of performance, scalability, and innovation are being pushed by our presenting companies. The event […]
You Can’t Build an AI Strategy Without a Data Strategy
A robust AI strategy is fundamentally dependent on having a solid data strategy in place, underscoring the importance of data governance, quality, and integration. Businesses must prioritize these data elements to harness the full potential of AI technologies for better decision-making and operational efficiency. Read more in this article by Barton George following the Solidigm presentation at AI Infrastructure Field Day 2.
You Don’t Have an AI Strategy Without a Data Strategy
In the rapidly evolving landscape of AI, a solid data strategy is crucial for any meaningful AI implementation. Without a coherent approach to data management, acquisition, and processing, efforts to leverage AI can be significantly hampered, rendering potential advancements ineffective. For further insights, check out more coverage of AI Infrastructure Field Day 2 on LinkedIn.