In pay-as-you-go cloud ecosystems, decisions about how and where to house vast stores of rapidly expanding data sets can have an outsized impact on IT’s bottom line.
The emergence of data-hungry LLM technologies has only raised the stakes, as organizations look to leverage AI-enabled tools.
The three largest hyperscalers — AWS, Google Cloud and Microsoft — are in a heated race to optimize data centers for AI workloads, integrating advanced GPUs and other high-speed processors to their infrastructure.
