Good post FF, apparently without realising it his solution is...

Good post FF, apparently without realising it his solution is what BRN already provides. See Workable solution below.
No wonder why at the AGM both Sean and Tony (Chairman) outlined a 2 year timeline from engagement to Deal. Gen2+Tenns from March'23. AKIDA 1000 and 1500 earlier, Said cannot provide names or dates but it will happen. Sean said do your maths.
The space program we are involved with is evidently working with the 1500.
I recommend having another look at the AGM recording.
Those downrampers who do not believe what Sean, Tony and Tony Lewis are saying are basically alleging a fraudulent conspiracy at the highest levels similar to the 'odd' moon landing conspiracy theories.

A workable solution

To address these challenges and secure a leading position in the market, companies ought to develop next-generation AI accelerators with focus on three primary areas:

1. Innovation in technology: A viable solution should be based on a novel AI-specific architecture that defeats the memory bottleneck when the memory cannot deliver data to the multipliers/adders quickly enough. The benefits of higher usable throughput, lower latency, reduced power consumption and cost would be dramatic, leading to leaps in efficiency and broad expansion of their appeal.
2. Scalability and flexibility: Developing a scalable, modular and programmable AI accelerator that can handle diverse AI workloads, not just specific tasks, and easily integrate with a variety of platforms and systems could widen the market. This would open the vast area of edge applications from small startups to large enterprises.
3. Ease of deployment: A supporting software stack would allow algorithmic developers to seamlessly map their algorithms under development onto the AI accelerator without requiring them to understand the complexities of the hardware accelerator—specifically, RTL design and debugging. This would encourage them to fully embrace the solution.