Time-to-compute - What does it take to get AI online?

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  • The Data Center Construction Channel
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This episode will be available to stream at 9am GMT.

Securing GPUs does not guarantee that AI compute can be brought online when it is needed. For Neoclouds, AI labs and hyperscalers, the challenge is having infrastructure ready quickly enough to support high-density workloads and meet customer commitments. An AI campus becomes decision-ready when operators have confidence that a location can support the required compute within the timeframe needed, with the infrastructure to accommodate demanding power and cooling requirements. India is increasingly entering that conversation, combining faster data center delivery with incentives that could strengthen the case for global cloud providers to locate AI infrastructure in the market. In this episode we explore:

  • What operators need to know before committing to an AI campus location
  • Aligning infrastructure delivery with compute and customer timelines
  • Meeting the infrastructure requirements of increasingly dense AI workloads
  • Assessing India’s potential for the next wave of global AI campus investment

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