AI Infrastructure Demands Chip-To-Rack System Integration

On March 25, 2026, Mahesh Balasubramanian, Senior Director at AMD, argues enterprises must adopt chip-to-rack system design to sustain AI workloads in production. He details how CPUs (EPYC) orchestrate data flow, GPUs (Instinct) perform computation, and networking (Pensando) plus software (ROCm) enable predictable scaling across racks. The piece warns that isolated component optimization leads to degraded performance under continuous, multi-node load.
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