Rose-gold data-center operations center with DCIM dashboards.

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DCIM software stack · in development

Conventional DCIM,plus AI that sees the silicon.

Datafabrix is developing a DCIM software stack that handles the conventional jobs, including assets, power, cooling and capacity, and adds AI predictive analysis on telemetry from the DFX-G7 switch and the Smart Backplane.

Full DCIMAssets · power · cooling
Gen7 + backplaneTelemetry ingest
AI predictivePlan, don't react

Conceptual illustration

01The software stack

Six layers. One operational picture.

Facility data comes in the usual way. Silicon data comes from Datafabrix hardware. Both land in one model, so the AI layer can reason across them.

ExperienceOperators & APIs
DashboardsAlertsWork ordersReportsREST / Python APIs
AI predictive analysisDatafabrix models
Thermal forecastingFailure predictionLoad & placementCapacity forecastRoot-cause correlation
Conventional DCIMCore operations
Asset inventoryPower & PDUCooling & CRAHSpace & capacityAlarmsChange mgmt
Data modelUnified telemetry
Time seriesTopology graphHall → lane hierarchyEvent store
Datafabrix ingestSilicon telemetry
DFX-G7 fabric telemetryBackplane sensor fabricOn-switch AI scores
Facility ingestStandard sources
BMSPDU / UPSRedfish / IPMISNMPEnvironmental sensors
Datafabrix-specificConventional DCIM
Operators facing a wall of rose-gold DCIM dashboards.
One view, hall to laneConceptual illustration
02Conventional vs. Datafabrix

Everything DCIM does, plus what it never could.

AreaConventional DCIMDatafabrix DCIM
Visibility depthFacility, rack and PDUFacility to server, backplane bay, PCIe port and device
ThermalRoom and rack-inlet temperatures, threshold alarmsPer-bay temperatures, hotspot forecasts with time-to-threshold
FaultsAlarm after a component failsRisk score days ahead, from link errors, latency and sensor drift
LoadPower and space capacity planningFabric congestion prediction and thermally aware placement
MaintenanceReactive or calendar-basedPredictive, condition-based work orders with evidence
Root causeSeparate tools per layerOne event correlated across facility, system and fabric
03Dashboard concept

One view, from hall to lane.

Choose any level in the tree. The same model holds facility, system and fabric telemetry.

Datafabrix DCIM · concept dashboardSimulated values
Thermal mapHall B
Power and fabric throughput · 24hTrend
Predictive maintenanceRisk
AlarmsLive
04AI predictive analysis

From alarms to forecasts.

The AI layer consumes the on-switch risk scores and the raw features behind them, adds facility context, and produces ranked, explainable recommendations.

ThermalRack thermal forecast in rose-gold haze.

Thermal forecasting

Combines CRAH and inlet data with per-bay backplane temperatures to forecast hotspots and recommend cooling or placement changes.

FaultDrive with degradation diagnostics.

Failure prediction

Ranks drives, links and boards by failure risk across the fleet, each with the signals that drove the score.

PlanTechnician heading to a rack for planned maintenance.

Maintenance planning

Turns risk into scheduled work orders: which bay, which part, which window, with workloads drained in advance.

05Facility to silicon

The rack is not the bottom of the stack.

A hot aisle, a throttling GPU and a retraining link may be one event, not three. Select a level to see what Datafabrix DCIM tracks there.

From facility visibility to silicon foresight.

See how Datafabrix DCIM connects to the switch and the backplane.