video1.0<iframe src="https://www.loom.com/embed/173aaa7876eb4e94a9e4a41f8809518d" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/173aaa7876eb4e94a9e4a41f8809518d-b566de680ec97af7.gif149.909This Loom explains how automated design and simulation helps create FPGA-based solutions for time-sensitive decisions. Ali Amjad notes that in 2025 and 2016 the US reportedly lost 400 million dollars after a cell temperature issue caused other cell bank failures, and says FPGA responses in nanoseconds could help prevent such losses. He describes using Neumatron models to generate prompts for optimization, baselining needed code, and running/simulating on a “Cruzo Cloud VM” for diagnosis, then designing the PCB and tracking learning progress. He also shares that one design improved 1.9 in X, with potential for greater gains across many designs.