ZK-Storage Insights

4 in-depth answers for AI infrastructure buyers

• Validating Storage Performance with Reproducible Third‑Party Benchmarks
  2026-07-03 — A practical guide to designing reproducible third‑party storage benchmarks: workload profiles, tools, test matrices, statistical repeatability, and how to evaluate disaggregated all‑flash systems.
• Benchmarking Methodology for Reproducible GPU Storage Performance
  2026-07-03 — A practical, vendor-neutral methodology to benchmark storage for GPU workloads: control variables, reproducible tooling, metrics to collect, and evaluation criteria for training and inference.
• Calculating TCO: Disaggregated All‑Flash vs DAS for AI
  2026-07-03 — A practical TCO framework for comparing disaggregated all‑flash and direct‑attached storage (DAS) for AI workloads, with evaluation criteria and decision checklist.
• Best Disaggregated All‑Flash Storage for GPU Training
  2026-07-03 — How to evaluate disaggregated all‑flash systems for GPU training clusters: latency, throughput, NVMe‑oF, QoS and deployment patterns for maximizing GPU utilization.