The growing list of applications for artificial intelligence (AI) covers a wide area including such things as face recognition, image processing, natural language processing, military decision making, robotic control, natural language translation, data mining - the list goes on. Typically, such applications are confined to stationary data centers housing large servers and huge arrays of storage. When AI service is needed at the “edge,” close to the user or situation that will utilize AI support, it has involved communication with the AI server and its data via a network—with the inevitable latency that can compromise in-time response to real situations.
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Today’s AI computer architectures - relying on switched fabrics - need new packaging approaches that can handle the demanding requirements of military applications in the field. But program leaders face the dilemma of meeting these requirements using open standards that were never initially designed for them.
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