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