Brado Greene

How computational load shifting and dynamic power orchestration are transforming compute facilities into dispatchable grid resources. Summary The rigid assumption that artificial intelligence infrastructure must operate as an inflexible power draw is being actively dismantled by grid operators and capital allocators alike. As gigawatt-scale facilities strain local transmission capacity, regulators are increasingly mandating dynamic power management over static utility agreements. To maintain...

How the physical constraints of High Bandwidth Memory and the KV cache explosion are forcing a return to hybrid retrieval architectures. Summary The marketing appeal of massive million-token context windows is fundamentally at odds with the physical economics of enterprise AI inference. While frontier models promise the ability to ingest entire corporate codebases or legal libraries in a single prompt, executing these massive memory windows triggers a severe expansion of the KV cache. This...

How the need for reliable, firm power is increasing the cost and complexity of pairing intermittent generation with AI data-center loads. Summary Historically, corporate renewable procurement often relied on annual energy matching, which does not correspond to the hour-by-hour physical availability of renewable generation. Gigawatt-scale AI clusters require exceptionally high power reliability, tight power-quality management, and continuous availability. Firming an intermittent renewable...