DATAFABRIX THERMAL · MODULE
Thermal Intelligence — engineered for AI-class workloads.
Per-junction sensing at 1,000 Hz. Predictive throttle alerts. Closed-loop with cooling and workload.
Datafabrix Thermal is the thermal-intelligence module of the platform. It builds a live map of every thermal junction in your fleet — from PCB substrate to rack exhaust — and closes the loop with cooling and workload in real time. Built to operate on the ThermalSense telemetry surface of the upcoming Datafabrix Gen6 thermal-aware smart backplane (sampling 2026).
Per-junction sensing at 1,000 Hz. Predictive throttle alerts. Closed-loop with cooling and workload.
Heat is the silent SLA killer of modern AI infrastructure. A 10 °C rise in board temperature multiplies bit-error rate by an order of magnitude. A sustained hot spot throttles GPUs invisibly — long before any datasheet alarm fires. And cooling is the largest non-IT line item in a modern data center's energy bill: a 40% reduction shows up directly on the P&L and the sustainability report.
Most data centers manage thermal at the rack — through air-handler set-points, return-air temperature, and end-of-row sensors. That worked when racks were 5 kW. At 40 kW per rack and rising, you need per-junction visibility — and a control plane that can do something about it.
Thermal gives you both. Per-slot sensing at 1,000 readings per second, predictive throttle alerts 30 seconds ahead, autonomous workload migration on hot-spot detection, and a single dashboard that connects substrate-level signal all the way up to the rack-level cooling response.
A real-time, per-junction thermal map of every backplane, board, and rack you operate. Resolution: 1,000 readings per second per sensor. Accuracy: ±0.5 °C.
ML models forecast throttle events 30 seconds before they happen. Workloads migrate or cooling adjusts — before performance degrades, not after.
Thermal speaks back to your cooling system. CRAC setpoints, chilled-water flow rates, and rack-level fans all become controllable variables in a single closed loop.
Detect a developing hot spot. Migrate the affected workload to a cooler zone. Re-balance the cooling load. Log the incident with full attribution.
40% reduction in cooling energy across deployed sites. PUE that moves measurably — and shows up in your annual sustainability disclosures.
Multi-tenant fleets get per-tenant thermal budgets. Your largest customers' workloads get the cool zones; smaller tenants get fair allocation; everyone gets transparency.
Three representative engagements that illustrate the kind of value Datafabrix Thermal delivers in the field.
A 512-GPU training run is at hour 96 of 240. Subtle thermal drift on rack 9 will throttle compute in 15 minutes — invisible to standard monitoring.
Thermal predicts the throttle, migrates the affected tenant's workload to a cooler rack, raises chilled-water flow by 3%, and logs the migration with full attribution.
Zero throughput loss. Engineer learns about the swap from the morning report. Training completes on schedule.
A storage OEM is leaving 20% of rack density on the table because they can't guarantee thermal envelope across their full SKU mix.
Thermal models the exact thermal cost per workload-class per chassis, then advises which SKUs can be densified into which rack positions while staying inside envelope.
20% density unlocked. Same cooling envelope. Materially higher revenue per square foot for the operator.
A hyperscaler reports a PUE of 1.42 across one of their AI campuses. Goal: 1.25. Cooling alone is $14M/year.
Thermal closes the loop on cooling: workload-aware setpoint optimization, per-rack airflow tuning, predictive ramping. PUE drops to 1.26 over two quarters.
$4.6M annual energy savings. Sustainability disclosures improve. Site capacity for AI growth extended without new cooling capex.
A live look at the dashboards, workflows, and telemetry surfaces you get with Thermal.
DF-P2 · Live Dashboard3D rack visualization with per-junction temperature updated in real time. Cyan for cool zones, orange for hotspots.
Sub-second temperature readings from every ThermalSense sensor on Gen6 backplanes.
Detects thermal drift patterns that will cause throttling — alerts before performance impact.
Recommends fan-curve, workload placement, and airflow adjustments to reduce cooling cost by up to 40%.
Automatically identifies emerging hotspots at rack, row, and datacenter level with historical trending.
Documented savings from real deployments — reduced PUE via workload-aware cooling control.
Tell us about your fleet and your top operational pain. We will map Datafabrix Thermal to a 90-day pilot scope — and quantify the expected outcome — within five business days.
