Compute Is Moving to the Edge: Are Your Algorithms Ready?

The conversation about where compute lives is changing. For the past decade, the default answer was the cloud: centralize the workload, send it up, get the answer back. That model worked well when latency was acceptable and connectivity was reliable. In the environments where the hardest engineering problems actually get solved, neither of those assumptions…

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The Data Center Efficiency Crisis Nobody Is Talking About

The conversation around AI infrastructure is almost entirely focused on what gets added: more chips, more power, more capital. The number most people aren’t talking about is what gets wasted. Across most data centers today, 85% of GPU capacity sits unused. Organizations are spending trillions of dollars building out AI infrastructure and extracting a fraction of…

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