Persistent Agent — Page 2

Agents lose learned context between sessions without persistent storage.

NVMe caching bridges the latency gap between object storage and AI's random-access demands.

Most storage benchmarks measure systems that don't exist in production.

Measure cache hits by tier, cost, and time to stop hiding the latency that matters.

Standard benchmarks miss the bursty, mixed I/O patterns that actually slow AI training at scale.

Metadata operations dominate AI filesystem performance, not data throughput.

P99 latency matters more than averages when agents hit storage concurrently.

Storage bottlenecks—not algorithms—determine how fast your GPUs actually train.

Fio's three distinct modes expose hidden storage bottlenecks in AI workloads.