Akash Bajwa, Principal @ Earlybird
Long-horizon agents fundamentally change AI workload properties, shifting compute, memory, and power optimization from dense training/chat inference to distributed execution: CPU:GPU parity, flash-based state storage over HBM, and aggregated megawatt pools over gigawatt campuses.
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Topics: AI (Horizontal) · AI Infrastructure · Data & Analytics
Published by Akash Bajwa · their site ↗
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