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The Inference Power Wall
And the
Physics
That Breaks It
AI inference demand is exploding from hyperscale GPU clusters to distributed edge nodes. Power budgets aren't keeping up. Qernel's charge domain processing turns physics itself into a compute engine, delivering orders of magnitude more tokens per joule where it matters most.
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About
Blog
Careers
Contact
Qernel
AI
—— v1.0.0
About
Blog
Careers
Contact
About
Blog
Careers
Contact
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1
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0
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Unlocking 100x Energy Efficient AI Inference:
Charge-domain Processing-in-Memory
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Qernel AI proposes a radical rethinking of AI inference architecture by merging computation and memory through: Charge-domain processing, 3D stacking, Compute-in-Memory (CIM). This innovation tackles the "Memory Wall"—a critical bottleneck in traditional GPU-based systems where data transfer latency and bandwidth limitations throttle performance.
Coming soon