AI / REPORTFive Questions to Ask Before Choosing an Edge AI Chip
At the edge the metric is performance per watt, and the compiler decides adoption. Quantisation, on chip memory and support lifetime outweigh peak throughput.
AI / REPORTAt the edge the metric is performance per watt, and the compiler decides adoption. Quantisation, on chip memory and support lifetime outweigh peak throughput.
Hardware / REPORTCombining chiplets and memory stacks is now the tightest constraint in AI hardware supply. Substrates, thermals and qualification all add delay.
AI / REPORTLogical qubits have moved error correction from theory to engineering. The meaningful metrics are error rates and overhead, not the total count of physical qubits.
AI / REPORTModels that fit on a device are solving latency, privacy and connectivity problems that hosted systems handle badly. The engineering trade-offs are concrete and measurable.
AI / REPORTThe bottleneck in AI hardware is no longer arithmetic. It is the cost of moving data, and the workarounds are reshaping chip design, software and data centre planning.