Why AI is re-designing data center architecture
Data center design has been shaped by a familiar set of priorities for years: keep systems available, resilient and predictable in any condition. Just like the electrical grid that powers these sites, they have been engineered to provide a highly consistent service regardless of what happens, even when individual components fail.
This has meant operators build layers of redundancy into power, cooling and network infrastructure.
CTO and Co-Founder at InfraPartners.
However, artificial intelligence has changed the story. While organizations are racing to roll out AI tools at scale, the data center industry is discovering that not all workloads have the same infrastructure requirements.
For instance, training a large language model, running real-time inference, supporting enterprise applications and processing business-critical transactions each place very different demands on the underlying infrastructure.
Today, one data center doesn’t need to serve every purpose equally and we’re increasingly seeing that facilities can be both...
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