Something to consider that might not have jumped out and grabbed you by the scruff of the neck if you are not a
@Diogenese is SCALABILITY.
If you have listened to Anil Mankar at the 2021 Ai Field Day you will recall he discussed with an audience member that if you are prepared to accept some latency increase you can use just ONE node of the AKIDA neural fabric.
The AKD1000 has 80 nodes and is designed to allow you to gang up to 64 AKD1000 should you need the power of 5,120 nodes.
What you may not be aware of is that 64 was chosen from a theoretically possible 1,024 AKD1000 chips being ganged together giving you the neuromorphic processing power of 81,920 AKIDA nodes.
When
@uiux and @Zeebot were having the Nviso in cabin system demonstrated to them it was stated by Tim Llewellyn that they were not using anywhere near the full processing power of their one AKD1000 chip that you see in the vehicle and they intend to add further functions via this one one chip.
So what is the point well clearly AKD1000 is ridiculously powerful and this is why the former CEO Mr. Dinardo stated that 64 AKD1000 chips was chosen because it would more than cover their target market.
However the AKIDA IP can run with 1 node right up to 81,920 nodes.
In a way what this scalability means is infinite product applications in fact imaging a product that might require 81,921 nodes is beyond my imagination.
So when Brainchip refers to a competitors product as not being scalable this is a HUGE barrier to that product taking market share from Brainchip.
My opinion only so DYOR
FF
AKIDA BALLISTA