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Case study, modelled

The gigawatt programme

We are planning at gigawatt scale.

Modelled

A 1,100 MW requirement fits inside a 1,000 MW envelope with about 66 to 131 MW of headroom to spare, modelled.

A programme that needs 1,100 MW of racks against 1,000 MW at the rack input is 715 racks short without the runtime. With it the requirement fits on both readings and about 66 to 131 MW of headroom is released, a mid-sized data centre, modelled. Every figure is modelled on the measured H100 NVL result, and one paired measurement per hall type makes it the programme's own before the request is sized.

Who it is for

A programme that owns or will own its accelerators, controls what runs on them, and holds or is requesting its own electrical envelope above a gigawatt. The capacity planner sizes the request and the finance director signs it.

New builds and campuses

The basis

A modelled scenario

This is modelled. The programme is illustrative, with no customer behind it, and every rack, megawatt and pound below is arithmetic over inputs you can change. One number is ours, and it is measured: up to 21% less GPU die power on NVIDIA H100 NVL over 48 hours. Managed and baseline arms ran under an equal cap, read from NVML die power. Die power is a lower bound on wall power. The rack in this model is hardware other than H100 NVL, so its figures stay modelled until a baseline run on it. A three-week validation on your own fleet makes the figure yours.

Key figures

Every figure, what kind of figure it is, and its basis.

One figure is measured. The derived figures come from the same run. Everything else is modelled on the inputs below.

  • GPU die power reduction

    measured

    Up to 21%

    NVIDIA H100 NVL, one continuous 48-hour window, managed and baseline arms under an equal cap, NVML die power. A lower bound on wall power.

  • Tokens per watt

    derived

    Up to +22%

    Same 48-hour run, Balanced mode, NVML die power and vLLM serving throughput.

  • Throughput change in the run

    derived

    0%

    Same 48-hour run, Balanced mode. The runtime holds throughput and cuts power.

  • Reduction at the rack input

    modelled

    About 15% to 21%

    21% times the 72% accelerator share, conservative; the die figure as a floor on wall watts, stated basis.

  • Reduction the requirement needs

    modelled

    About 9%

    One minus 1,000 MW over about 1,100 MW: the programme's own arithmetic.

  • Shortfall without the runtime

    modelled

    715 racks, 51,480 accelerators

    7,857 racks required against 7,142 the envelope holds at 140 kW. No number of ours in it.

  • Managed rack draw

    modelled

    About 119 kW to 111 kW

    140 kW nominal less the rack-input reduction on each reading.

  • Racks inside 1,000 MW

    modelled

    8,415 to 9,041, against 7,142 unmanaged

    Envelope over managed rack draw, whole racks.

  • Accelerators inside 1,000 MW

    modelled

    605,880 to 650,952, against 514,224 unmanaged

    Racks times 72.

  • Accelerators beyond the requirement

    modelled

    40,176 to 85,248

    558 to 1,184 racks over the 7,857 required. Hardware the programme still buys.

  • Headroom inside the envelope

    modelled

    About 66 MW to 131 MW

    1,000 MW less the requirement's managed draw of about 934 MW or 869 MW.

  • Fit margin

    modelled

    About 6 to 12 percentage points

    Reduction at the rack input less the about 9% the requirement needs.

  • Accelerator share at which the fit still holds

    modelled

    About 43% or above

    Reduction needed over the die coefficient.

  • Continuous demand avoided

    modelled

    About 62 MW to 86 MW

    A fleet mean of about 746 MW times the rack-input reduction times the 55% busy share.

  • Energy a year

    modelled

    About 540,000 to 760,000 MWh

    Demand avoided over 8,760 hours.

  • Megawatts not requested

    modelled

    About 166 MW to 231 MW

    The 1,100 MW request times the rack-input reduction on each reading.

  • Deferral of the own build

    modelled

    30 months

    1 June 2029 to 1 December 2031 on your own dates. A deferral, not an avoidance.

  • Months until the headroom is used

    modelled

    37 to 48 months

    900 MW committed, growing 90 MW a year, against the managed envelope on each reading.

  • Draw to cover on a total runtime failure

    modelled

    About 100 MW at the 1,100 MW requirement; about 178 MW at 8,415 racks

    Unmanaged racks at 140 kW against 1,000 MW, conservative reading: about 1,100 MW at 7,857 racks, about 1,178 MW at 8,415. Covered per hall by an agreed curtailment right, reserved headroom, or a request sized below the modelled figure, set with the system operator.

Declared inputs

What the arithmetic runs on.

Each input is stated with its basis. Change any of them and the figures above move with it.

  • Contracted envelope

    1,200 MW at the facility plane

    Reader-supplied. The plane is yours to select.

  • Power usage effectiveness

    1.20

    Reader-supplied. There is no default.

  • Envelope at the rack input

    1,000 MW

    Computed: 1,200 over 1.20.

  • Rack draw at the rack input, nominal

    140 kW

    Rack specification, reader-supplied; provisioning basis nominal.

  • Accelerators per rack

    72

    Rack specification.

  • Accelerator share of rack draw

    72%

    Reader-supplied. The largest lever inside the model.

  • Upstream cascade factor

    1, no credit

    Default. No credit for the argument that die power bounds wall power.

  • Requirement

    1,100 MW of racks

    Reader-supplied.

  • Day shape

    55% busy and changing, 35% idle or nearly idle, 10% pinned at the power limit

    Reader-supplied. One shape for the whole estate, a simplification at this scale.

  • Longest continuous pinned run

    6 minutes

    Reader-supplied.

  • Binding limit

    Contractual, measured over a 30-minute settlement interval

    Reader-supplied. There is no default.

  • Mean draw per rack

    95 kW

    Reader-supplied and illustrative. Left blank, the energy block goes.

  • Electricity cost, illustrative

    20 pence a kilowatt-hour

    Reader-supplied.

  • Build stage and capacity about to be requested

    Requesting, 1,100 MW

    Reader-supplied. The avoided-build block runs only at this stage.

  • Alternative expansion available

    Yes

    Reader-supplied. With an alternative in hand, the model labels the build deferred, not avoided.

  • The two dates

    Capacity needed 1 June 2029; own build energises 1 December 2031

    Reader-supplied, both.

  • Committed load and growth

    900 MW today, growing 90 MW a year

    Reader-supplied.

  • Coefficient at the die

    21%

    Measured. Fixed, not an input.

The working

The programme and its envelope

The programme holds a contracted envelope of 1,200 MW; at a power usage effectiveness of 1.20, 1,000 MW reaches the rack input. Its requirement is 1,100 MW of racks. At 140 kW nominal and 72 accelerators per rack, that is 7,857 racks and 565,704 accelerators. Without the runtime the envelope holds 7,142 racks and 514,224 accelerators. On its own arithmetic the programme is 715 racks and 51,480 accelerators short, and needs about a 9% reduction at the rack input.

The reduction at the rack input

Our coefficient is at the accelerator die and the programme's constraint is at the rack input. Between them sit the accelerators' share of rack draw, entered as 72%, and an upstream cascade factor defaulted to one. Two readings follow, and both travel together. The conservative reading, 21% of 72%, is about 15% at the rack input. The stated basis treats the die figure as a floor on wall watts and gives 21%. Both are modelled. A managed rack then draws about 119 kW or about 111 kW against 140 kW nominal. The 7,857 racks draw about 934 MW or about 869 MW, inside 1,000 MW on either reading with about 6 to 12 percentage points to spare.

What the envelope holds

Inside the same 1,000 MW the envelope holds 8,415 racks on the conservative reading and 9,041 on the stated basis, against 7,142 unmanaged. That is 605,880 to 650,952 accelerators, modelled. It meets the requirement of 565,704 with 40,176 to 85,248 accelerators beyond it, hardware the programme would still buy. It is about 18% to 27% more racks in the same contracted envelope. The headroom is about 66 MW to about 131 MW, modelled: a mid-sized data centre rather than slack.

Per accelerator, the same run gave up to +22% tokens per watt in Balanced mode, derived. On a fixed fleet that is the same tokens for less energy. More output comes from the capacity released, about 18% to 27% more racks in the same envelope, modelled.

The same watts as energy

The mechanism is duty-cycle intelligence on bursty fleets. Most of the saving is idle-floor reduction and most of the rest is clock-down at mid utilisation, so a week of each hall's telemetry shows the hours it works on; a fully saturated hall is a grid-flexibility conversation instead. In this model the busy-and-changing 55% of the declared day carries the coefficient. On a mean draw of 95 kW per rack the fleet averages about 746 MW. The continuous demand avoided is about 62 MW to about 86 MW: about 540,000 to 760,000 MWh a year, modelled.

At your own illustrative 20 pence a kilowatt-hour, that energy is worth about GBP 110,000,000 to about GBP 150,000,000 a year, modelled on the measured H100 NVL run until a paired measurement per hall type makes it the programme's own. The freed watts have three uses, and they exclude each other: fill them with accelerators, bank them as energy, or hold them as resilience margin. Choose one and plan against it; adding two counts the same watts twice.

The capacity request

The programme is about to request 1,100 MW. The runtime removes about 166 MW from that request on the conservative reading and 231 MW on the stated basis, modelled. Capital not spent is megawatts not requested times the cost per megawatt of new capacity. The second term belongs to your own capital plan, so multiply it yourself and you will know which assumption you have made. Between capacity needed on 1 June 2029 and an own build energising on 1 December 2031 sit 30 months. It is a deferral rather than an avoidance, because an alternative expansion exists.

With 900 MW committed today and 90 MW a year of growth, the headroom is used up in 37 months on the conservative reading and 48 on the stated basis, modelled. Your capacity plan proceeds as it would; the envelope you already hold yields more while it does.

The standing condition

Racks that fit only because the runtime reduces what they draw make continued operation a standing condition of the configuration. The runtime is designed to fail open to full performance on a component fault. The mitigation therefore lives with the programme's engineers rather than in the software. On the conservative reading, 8,415 energised racks draw about 1,178 MW unmanaged against a 1,000 MW envelope. That is about 178 MW of unplanned draw on a total failure, modelled. At that size the programme's engineers and the system operator set the cover per hall: an agreed curtailment right, reserved headroom, or a request sized below the modelled figure. A curtailment right keeps the capacity figures above; reserve held inside the envelope spends them, and the safety case sets the balance.

Contract interval or plant rating

A capacity planner's first question decides how this applies. Is the binding limit a contractual demand or energy figure measured over an interval, or the rating of installed plant? A sustained reduction relieves the first, and the arithmetic holds as written. It does not relieve a transformer, a breaker or a busway, which is still sized for the peak the racks can draw. Here the limit is contractual over a 30-minute settlement interval, and pinned runs last at most 6 minutes. The envelope is exceeded in those minutes without setting the interval, so the fit stands. At 45 minutes the verdict turns conditional.

Per hall, then a measurement

A gigawatt programme is a set of halls, filled on a schedule, running different workloads with different provisioning bases and limits. The model takes one of each. Run it once per hall with that hall's own inputs, then add the rack counts, which are integers and add cleanly. A percentage of one hall is not a percentage of a programme. The coefficient is the one thing that aggregates, because it belongs to accelerators and a workload rather than to a building.

One paired measurement per hall type settles the modelled half, and it belongs before a capacity request is sized rather than after.

What would change it

What moves the result, and how to check it on your own fleet.

Inside the model the accelerators' share of rack draw moves the result most. Entered at 72%, it sets the conservative reading, and the fit holds at any share of about 43% or above. Read the share off your own rack's power monitoring before anything else. Above the model, the scale-up from six measured accelerators in one node closes with a paired measurement per hall type: at the rack plane, concurrently with NVML, on your own load. The day shape moves the energy figures in proportion to the busy-and-changing share, while the capacity figures gate on the worst hour instead.

Your own numbers

The same arithmetic, on your site.

Bring your contracted envelope and its plane, your rack specification, a day shape for each hall and the date the capacity is needed. We will run this arithmetic per hall with you and set out the three-week validation that makes the coefficient your own figure.