Competitive landscape, page-2239

https://www.ang.af.mil/Portals/77/documents/ang_priorities_books/2022%20Weapons%20Mod%20Book.pdf

2022 Weapons Systems Modernization - Air National Guard

INTELLIGENCE: ADVANCED ARTIFICIAL INTELLIGENCE / MACHINE LEARNING HIGH PERFORMANCE COMPUTING CAPABILITY

1. Background. Intelligence analysts require an open architecture system with advanced artificial intelligence (AI) capabilities to streamline decision-making cycles across multi-domain boundaries.The system must include Neuromorphic Computing Bio-inspired technology andfeature advanced analytics. This system must deliver petaflops of computational power at gigaflops per watt providing warfighters with advanced analytics without large energy requirements. This system must leverage machine learning techniques to process data on board,deliver enhanced situational awareness, adaptive decision making, multi-mode, multi-mission, massive analytics and heterogeneous information processing, helping operators to recognize and act on actionable intel. Multiple systems should be procured for unit level intelligence, the DCGS enterprise, and operational analysts tasked with intelligence analysis and production. This system should include capabilities and support necessary to operate and update the system. Lastly, this system must be open architecture to ensure analysts can upload AI capabilities to suit their mission requirements and provide human to machine interfacing in both deployed and in garrison environments.

2. Program Details.

	Quantity	Unit Cost	Program Cost
1	400 High Performance Computers (3080)	$500,000	$200,000,000

Total $200,000,000


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what about this one @shareman

seems like competition can only come from other neuromorphic chips......

you think SynSense or Reexen can compete?