AI Hardware

Content about the hardware that enables AI at the edge — processors and accelerators (GPUs, TPUs, NPUs, FPGAs, ASICs), system-on-modules and development boards, sensors and cameras, and full reference platforms. Topics include power/performance and thermal tradeoffs, form-factor and connectivity constraints, hardware–software co-design, deployment and benchmarking, tooling and SDKs, and vendor/platform comparisons for real-time inference and on-device AI.

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