Energy Operating System for AI

OORZA.AI

Make energy a programmable resource.

Oorza connects energy markets, grid capacity, behind-the-meter generation, storage, cooling and compute demand into one operating system for AI infrastructure.

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Follow the energy

From primary supply to useful AI work.

See energy transform as it moves through markets, substations, UPS systems, cooling plants, racks, accelerators and model execution.

GRID IMPORT235 MW · $71/MWh GAS BTM96 MW · Prime RENEWABLES64 MW · Forecast BESS81 MW · 2.8 h CAMPUSSubstation · UPS · PDU RACKS438 MW delivered COMPUTE321 MW useful IT LOSSES COOLING 61 MW NETWORK + STORAGE
Energy control surfaces

Four systems. One energy decision.

Every AI workload is shaped by where energy comes from, how it is converted, what physical constraints exist and where the workload can run.

01 / SOURCE

Markets & Procurement

Buy power across contracts, tariffs, PPAs, fuel and real-time markets.

  • Nodal and zonal prices
  • Demand charges
  • PPAs and hedges
  • Fuel contracts
  • Carbon attributes
02 / SUPPLY

Prime, Bridge & Backup

Choose the right source for cost, firmness, ramp and resilience.

  • Utility supply
  • Gas turbines
  • BESS and microgrids
  • Renewable generation
  • Emergency reserve
03 / CONSUMPTION

Compute & Cooling

Attribute energy to chips, memory, network, storage and heat removal.

  • GPU and HBM joules
  • Fabric and storage overhead
  • Rack and PDU losses
  • Chiller and CDU power
  • PUE and WUE
04 / MOBILITY

Workload Routing

Move AI work across time, geography and infrastructure to use better energy.

  • Regional placement
  • Checkpoint economics
  • Latency and data gravity
  • Carbon-aware windows
  • Power availability
Markets and procurement

Know the true landed cost of every megawatt.

Oorza combines energy, capacity, congestion, demand charges, fuel, carbon, reliability and curtailment into one forward cost curve.

Price, Load and Carbon Forecast

Next 24 hours across the active portfolio.

Portfolio Snapshot

$62/MWhBlended landed cost
286 MWAvailable firm headroom
43%Behind-the-meter share
$2.7M/moDemand charge exposure
184 MWProjected 2028 firmness gap
Real-time dispatch

Decide which electrons should run which AI work.

Coordinate grid imports, gas, renewables, storage, cooling and demand response against workload priority and SLA.

24-Hour Supply Stack

Optimized mix by hour.

Dispatch Decisions

Current recommendations ranked by value and operational risk.

Discharge BESS during coincident peak$640K/moLow risk
Shift 28 MW inference to Texas$1.1M/moMedium
Increase gas prime dispatch$420K/moLow risk
Raise chilled water supply setpoint$390K/moLow risk
Defer training checkpoint window$180K/moMedium
Planet-scale workload mobility

Move compute toward better energy.

Route flexible AI work to regions with lower cost, cleaner generation, greater headroom and better cooling conditions.

WestCentralEastEuropeAPAC
California → Texas
-19% energy cost
Virginia → Oregon
-31% carbon
Training window
Move in 22 minutes
Workload energy score

Make placement an energy decision, not just a compute decision.

Each site is scored across power price, firmness, carbon, weather, cooling, network, data gravity and migration overhead.

Texas

Best near-term placement for latency-tolerant inference.

92
Energy$49/MWh
Headroom84 MW
Carbon318 g/kWh
Migration22 min

Oregon

Best carbon-aware option for flexible batch workloads.

88
Energy$54/MWh
Headroom61 MW
Carbon122 g/kWh
Migration34 min

Arizona

Strong solar availability with cooling tradeoffs.

84
Energy$46/MWh
Headroom93 MW
Carbon271 g/kWh
CoolingHigh load
Energy economics

Turn energy into a controllable AI unit cost.

Understand how procurement, conversion losses, cooling, idle capacity and migration shape the cost of every token and training step.

Monthly AI Energy OPEX

$14.8MEnergy
$4.2MDemand
$2.9MCooling
$1.8MLosses
$1.2MIdle
$0.7MCarbon

Highest-Value Actions

Regional inference migration$1.1M/mo

Move 28 MW during peak pricing while maintaining latency SLA.

Battery peak shaving$640K/mo

Discharge 62 MW during coincident utility peak.

Cooling plant optimization$390K/mo

Raise supply temperature and rebalance flow by rack density.

Recover stranded power headroom$285K/mo

Repack workloads around electrical and thermal constraints.

A Ureka AI product

Make every watt intelligent.

Oorza.ai is the energy operating system for AI infrastructure.

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