IBM & AKD1000, page-17

While IBM proving out AKD1000 is huge don't forget this is just one more proof of commercial application that Brainchip is heir too:

Case Study: Jetson + Akida vs. Conventional AI

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At the National Security Collaboration Center inside UT San Antonio's San Pedro I building, the AI Cowboys tested a hybrid system combining the NVIDIA Jetson Orin AGX with a BrainChip Akida PCIe Board.

• Traditional Jetson-only workload: Continuous anomaly detection on video streams at 120 watts.
• Jetson + Akida neuromorphic hybrid: The same workload, the same accuracy—at just 9 watts.

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That’s a 90% reduction in energy. To put it in perspective, that’s like shutting off 1,000 household lightbulbs every single hour.

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Sustainability

If deployed globally, neuromorphic AI could reduce energy consumption enough to eliminate CO₂ emissions equivalent to those of millions of cars. It’s not just green tech, it’s survival tech for industries under ESG pressure.

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Accessibility

Because these systems consume minimal power, they can operate in off-grid or low-infrastructure regions. That means farmers monitoring crops, doctors using portable diagnostic kits, or disaster teams running autonomous drones, all without relying on cloud data centers or stable electricity

https://www.theaicowboys.com/post/neuromorphic-brain-chip-nvidia-jetson-ai-cowboys

My opinion only DYOR

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