Feeding GPUs at Scale: What AI Infrastructure Teams Can Learn from Tiered Caching Architectures

Executive summary Varnish is a high-throughput, multi-tier caching solution that can eliminate object storage bottlenecks and triple GPU utilization for enterprise AI infrastructure teams managing large-scale training clusters. For massive AI workloads, a single cache layer isn’t always enough. You need to design a data path where each layer has a distinct job: Capacity close to storage Request collapsing in the middle Performance close to compute