The AI inference race moves beyond GPUs to reshape data center infrastructure
SiliconANGLE 1 month ago 39 ● 3 sources
AI inference workloads are pushing data center design beyond GPU performance toward storage latency, network bandwidth, data movement, and power as organizations deploy generative and agentic apps in production. Kioxia reported random-read performance improved by 76% and random-write performance by over 100% moving from CM7 to its BiCS8-based CM9 drives. Systems increasingly use coordinated full-stack architectures—such as storage supporting cached context—to hit latency and throughput goals while managing power limits and data “gravity” concerns.
