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Artificial intelligence is moving beyond simple instructions and fixed responses. We’re now entering the age of agentic AI where systems that can think, plan, and act in dynamic environments. These agents don’t just execute tasks; they understand context, decompose problems, and coordinate actions without waiting for constant human direction.

But to reach this level of autonomy, AI must run efficiently powered by optimized computation, distributed operations, rich multimodal data, and coordinated models. That story begins with the foundation that sustains it all power efficiency.

Power: Doing More with Less Energy

Every intelligent system, no matter how advanced, depends on how efficiently it converts energy into computation. For agentic AI, this efficiency is defined by **FLOPs per Watt, **the measure of how much useful processing happens for every unit of power consumed.

Agents often operate continuously, thinking in loops, analyzing data, and reacting to new events. To stay efficient, they reduce data movement, which is one of the most energy-expensive operations in computing. Instead of repeatedly transferring data between memory and processors, modern chips perform more calculations directly within memory.

This shift from heavy arithmetic operations to intelligent data movement creates faster and greener intelligence: a critical step before these agents can…