Expedera Inc

Expedera's Chief Scientist, Sharad Chole, explores how mismatches between layer dimensions and hardware blocks cause inefficiencies: smaller layers leave compute idle, larger ones require fragmentation with repeated memory accesses. https://semiengineering.com/how-to-start-building-edge-native-ai/

"If you think you understand how agentic AI will be used at the edge, then you don’t understand agentic AI yet." Agentic AI is likely the next evolutionary step in edge inference. How it all plays out always comes back to three things: how much power it consumes, how much data movement it requires, and how much compute it needs. Expedera Chief Scientist, Sharad Chole, shares his perspective in this Semiconductor Engineering Roundtable.

Can Edge AI Keep Up? As models evolve faster than silicon cycles, experts weigh how much adaptability architects can afford without sacrificing power, area, or efficiency.

Expedera's Chief Scientist, Sharad Chole, makes an interesting case that Edge intelligence is hampered not by a lack of compute but by the underutilization of available resources.

The Coming Breakup Between AI And The Cloud Edge intelligence is hampered not by a lack of compute, but by the waste of it.