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FabriX

Energy

Schedule compute with the grid.

How electricity price, renewable availability and grid conditions could influence where flexible compute runs.

Explore the energy modelSee scheduling intelligence

System view

Energy condition
Price + carbon
Scheduling response
Re-score regions
Placement effect
Shift eligible work
The model below uses illustrative hourly samples. It does not represent live grid data or current FabriX workloads.
Energy model

Conditions change. Placement can respond.

Scrub the UTC clock to see example electricity cost, renewable share and carbon intensity change the ordering of eligible regions.

Illustrative energy model. The generation flows, prices and regional readings are demonstration inputs, not public grid data or FabriX telemetry.

06:00 UTC18 modelled flows · 58.6 GWExample placement → Stockholm
North Sea · wind · 12.4 GWHornsea · wind · 3.6 GWBaltic Array · wind · 4.2 GWNorwegian Fjords · hydro · 33 GWHengill · geothermal · 0.8 GWLoire Valley · nuclear · 61.4 GWIberian Plateau · solar · 9.8 GWOuarzazate · solar · 5.2 GWColumbia River · hydro · 21.6 GWLlano Estacado · wind · 18.2 GWBaie-James · hydro · 37 GWGreat Lakes · nuclear · 12.8 GWParaná Basin · hydro · 14 GWAtacama · solar · 6.4 GWAl Dhafra · solar · 4.8 GWAl Kharsaah · solar · 1.6 GWBhadla · solar · 8.4 GWGansu Corridor · wind · 20 GWKyushu · solar · 3.2 GWKori · nuclear · 24.6 GWSouth Australia · wind · 5.4 GWNorthern Cape · solar · 3.8 GWVirginia · 4% renewableOregon · 97% renewableToronto · 56% renewableSão Paulo · 58% renewableSantiago · 72% renewableLondon · 28% renewableFrankfurt · 44% renewableParis · 4% renewableWarsaw · 22% renewableDublin · 28% renewableStockholm · 80% renewableReykjavík · 69% renewableDubai · 41% renewableDoha · 38% renewableMumbai · 47% renewableSingapore · 48% renewableTokyo · 36% renewableSeoul · 4% renewableSydney · 49% renewableJohannesburg · 29% renewable
06:00 UTC
Lowest modelled cost · 06:00 UTC
  1. 1
    Stockholm
    80% renewable
    $24/MWh
    9 g/kWh
  2. 2
    Reykjavík
    69% renewable
    $25/MWh
    6 g/kWh
  3. 3
    Santiago
    72% renewable
    $29/MWh
    37 g/kWh
  4. 4
    Toronto
    56% renewable
    $30/MWh
    27 g/kWh
  5. 5
    São Paulo
    58% renewable
    $34/MWh
    61 g/kWh
  6. 6
    Oregon
    97% renewable
    $35/MWh
    19 g/kWh
windsolarhydrogeothermalnuclear
Energy-aware placement

Move flexible work with intent.

When workload policy permits a different hour or region, energy can become a direct optimisation input instead of an external report.

Electricity cost

Power prices vary by region and hour. Flexible compute can treat that variation as a scheduling input.

Renewable availability

Wind, solar, hydro and other generation profiles create different windows for lower-carbon placement.

Grid conditions

A placement policy could respond to carbon intensity, generation mix and local grid constraints.

Demand shifting

Batch, training and other flexible workloads can move to a different hour or region when policy allows.

Make energy part of placement.

Speak with FabriX about the flexibility window, regions and energy policy your workloads can support.

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