Published: 08 October 2026
AI hardware performance depends more on memory efficiency, data movement, and token latency than on gains in accelerator compute throughput. This Impact Radar examines the technologies shaping AI infrastructure as the industry shifts from training-centric systems toward inference-driven, memory-intensive, and power-constrained architectures optimized at rack and cluster scale.
Analysts:
Warren Peng, Joseph Unsworth, Adrian O'Connell, Anushree Verma, Gaurav Gupta, Guy Robertson, Naresh Singh, Rithvik Kumar, Roger Sheng, Shrish Pant
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