DATAFABRIX STORAGEOS · MODULE
Storage Intelligence — engineered for AI-class workloads.
SSD wear modelling and endurance forecasting designed for next-generation PCIe Gen6 storage. Gen6 sampling 2026.
Datafabrix StorageOS is the storage-intelligence module of the platform. Designed to run natively on the upcoming Datafabrix PCIe Gen6 Thermal-Aware Smart Backplane (sampling 2026), StorageOS turns SSD wear, endurance, and performance from a black box into a real-time, fully-attributed dashboard.
SSD wear modelling and endurance forecasting designed for next-generation PCIe Gen6 storage. Gen6 sampling 2026.
AI workloads are uniquely brutal on storage. Checkpoint writes happen in bursts of hundreds of GB. Inference caches churn at line rate. Training shuffles hammer random read patterns that SSD vendors never benchmarked for. The result: drives wear faster than the warranty model predicts, endurance is consumed unevenly, and the operator finds out at exactly the worst moment.
StorageOS gives operators predictive insight into SSD behaviour — running on the actual hardware where these workloads run. Wear forecasting, endurance optimisation, performance attribution down to the controller, lane, and namespace. Designed against the PCIe Gen6 Thermal-Aware Smart Backplane telemetry surface (sampling 2026).
For storage OEMs, StorageOS is also a development accelerator: a reference environment that mirrors the conditions in real AI customer deployments, not synthetic benchmarks.
Per-drive wear projections — including DWPD-actual versus DWPD-rated, endurance burn-rate, and time-to-warranty-end — based on the workload mix actually running.
Workload-aware DWPD balancing across the pool. Hot drives are protected; cold drives are exercised; total fleet lifetime is extended.
Every read, every write, every latency outlier — attributable to a controller, a lane, a namespace, a tenant, a workload. The unit economics of storage become measurable.
When the model identifies an unbalanced wear pattern, StorageOS recommends specific workload-placement adjustments to re-balance — and verifies the result.
StorageOS is not a generic SSD monitoring tool. It is engineered against the upcoming PCIe Gen6 Thermal-Aware Smart Backplane and its ThermalSense telemetry surface — co-designed hardware and software from day one.
Per-drive metrics exported via NVMe-MI, Redfish, and OpenTelemetry. Drops cleanly into your existing storage-management stack.
Three representative engagements that illustrate the kind of value Datafabrix StorageOS delivers in the field.
A storage pool was specced at 3 DWPD. Actual measured DWPD across the pool is 4.2 — and 14 drives are projected to exit warranty 6 months early.
StorageOS attributes the over-burn to a checkpoint-write pattern from one specific tenant. Recommended remediation: a small change in checkpoint cadence brings the pool back inside spec.
6 months of warranty preserved. The tenant's checkpoint cadence is adjusted with no application-level impact. Procurement plan adjusts accordingly.
A cloud provider's storage SLA is p99 read latency < 4 ms. They are seeing p99 = 6.2 ms on Tuesdays. Nobody knows why.
StorageOS attributes the Tuesday spike to a recurring backup-tenant's bursty read pattern saturating a specific NVMe channel. The pattern is unique to a weekly job.
The backup tenant is re-scheduled to a quieter window. p99 returns to 3.7 ms. SLA is restored.
A Tier-1 SSD OEM is validating their next-gen drive. Their internal benchmarks pass. They need confidence the drive will hold in real customer environments.
StorageOS runs the drive against a representative AI workload mix on the Datafabrix Gen6 reference platform — the same environment their customers will deploy into.
Validation cycle compressed from 6 months to 8 weeks. The OEM finds two firmware bugs that internal benchmarks missed but real workloads exposed.
Tell us about your fleet and your top operational pain. We will map Datafabrix StorageOS to a 90-day pilot scope — and quantify the expected outcome — within five business days.