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The need for AI scale and compute density has resulted in an exponential demand for new facilities. However, with these facilities costing billions of dollars, and the AI use cases and technology evolving, it has become increasingly important that these buildings be designed for accelerating change. Furthermore, as the utility of AI deepens and is infused into more digital processes, is it possible for data centers to serve multiple chip technologies and use cases? This episode will explore:
- How flexible power and cooling architectures can prevent AI facilities from stranding capital investments at any level in the AI stack
- Building in adaptability during the entire construction process, from site selection and permitting to deployment
- Whether designs can be future-proofed to accommodate different workloads
- The importance of modular scalability as power and cooling requirements increase