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Lexi.AI combines edge inference, encrypted memory, and peer-to-peer GPU offload to keep AI data on-device. The stack uses llama.cpp for quantized inference, Tee-based enclaves, and Flower for federated aggregation. A Cambridge study shows up to 60% cloud cost cuts for low-latency features.
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