Solutions · Data Centers
Steady Power. Unbroken Compute.
AI load swings from near-idle to full power in lockstep, which is hard on your equipment and hard on a grid that now sets limits on it. TeraStor sits between the racks and the meter: it absorbs the swings so the grid sees a flat, compliant draw, and carries the load through sags and outages.
WHY TERASTOR
Built for Mission-Critical Power
A Flat Line at the Meter
AI training swings whole halls from near-idle to full power, seconds apart. TeraStor absorbs those swings before they leave the building — protecting transformers and switchgear, and keeping you inside the oscillation limits utilities set on AI load.
Compute That Survives the Grid
When the grid sags, flickers or fails, stored energy carries the facility — hours of ride-through, not the minutes a UPS buys before the generator starts. And thermal runaway is contained at the individual cell level, exceeding UL 9540A and NFPA 855, so the resilience asset is never the risk.
Less Plant to Maintain
Power equipment — most often the UPS itself — is the leading cause of serious data center outages. Replacing UPS plant with storage retires the upkeep that never ends — service contracts, battery refresh cycles, monthly transfer tests — and shrinks the fault domain from the site to a row.
Recommended Hardware
From the Pad to the GPU Row
The P8000 carries campus-scale load and holds it through grid failure; End of Row cabinets smooth power spikes right at the GPU rows.
TeraStor P8000
8.2 MWh dischargeable in a self-contained outdoor enclosure — the flagship, built on Parallel-before-Series architecture.
- Highest capacity per enclosure — fewer units for campus-scale load
- Rides through grid sags and outages on stored energy — hours, not UPS minutes
- Parallel-before-Series architecture isolates faults at the individual cell level
Concept visualization — not final mechanical design
TeraStor EoR
Coming SoonRack-sized battery cabinets installed at each end of a GPU row. They absorb the row’s power spikes right where they happen, so the building’s wiring and the utility see a smooth, steady draw.
- The system pays for itself: removing the centralized UPS avoids roughly $2.7M, more than the EoR system costs.
- With peaks absorbed at the row, the same interconnect and switchgear carry about 1.3 times the GPUs.
- Day-to-day operation is simpler than a UPS: no service contracts, no battery replacements, no monthly transfer tests. If something fails, it affects a single row rather than the whole site.
STORFABRICOS™ SOFTWARE
One Pane of Glass, From the Training Job to the Breaker
StorFabricOS™ is StorOS extended for the AI data center. The workloads, the facility telemetry and the power system — held in one model, on one clock, with one gate in front of every action.
StorFab
SeeOne live picture of jobs, cooling and power, drawn from a single connected model — the pane operators actually work in.
StorOS
ActRuns the plant: dispatch, setpoints and interlocks, executed with the discipline of a protection relay rather than an application.
StorAIQ
DecidePredicts the next power excursion, prices it and proposes the move. It proposes only — the model never touches a breaker.
StorFabricOS™ Module
Dashboard
The cluster command view — every GPU, node, rack and active job in one place, with predicted issues surfaced and priced before they become outages.
- Cluster health at a glance: GPU utilization, node temperature, facility IT load and PUE
- Live fleet counts — GPUs, compute nodes, racks and active jobs
- Predicted issues with confidence scores, ready to acknowledge or auto-remediate
StorFabricOS™ Module
Telemetry
Real-time GPU and node metrics across the row — temperature, utilization and power per node, streamed as sparklines so thermal and load excursions stand out on sight.
- Per-node max temperature, average utilization and power draw
- Color-coded node states flag hot or saturated hardware instantly
- Fleet view and GPU-allocation view, one click apart
StorFabricOS™ Module
Smart Scheduler
Topology-aware GPU placement, scored before the job lands. The scheduler weighs NVLink connectivity, thermal headroom and power against tenant priority — and shows its working.
- Placements scored on topology, thermal, power, locality, utilization and compliance
- NVLink-aware: keeps training jobs on optimally connected GPUs
- Per-GPU placement table with live temperature and utilization
StorFabricOS™ Module
Global Fleet Overview
Multi-cluster federation across regions — capacity, utilization, power and PUE for the whole estate, with a capacity forecast that flags exhaustion months ahead.
- Cluster topology map with live per-region status
- Estate-wide KPIs: GPUs allocated, utilization, power against capacity, weighted PUE
- Twelve-month capacity forecast per cluster
Working With TeraStor
How an Engagement Runs
Site Review
Share a one-line diagram and interval load data. We return a site-specific model of stabilization, ride-through and upkeep savings.
Single-Unit Pilot
A short letter agreement puts one TeraStor unit on site — commissioned and reporting within weeks.
Scale on Evidence
StorOS reports verified smoothing, availability and savings from day one — the basis for a broader rollout.
Get in Touch
We integrate advanced software with precision battery engineering to create energy storage systems that prioritize operational stability and long-term peace of mind.