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GPU Rack Power for AI Infrastructure: kW, kVA & Facility Planning

Screen kW per GPU, kW per rack, and row-level demand for AI training or inference clusters before transformer, UPS, PDU, and liquid-cooling design.

Who this scenario is for

Best for: AI infrastructure planners, colocation engineers, and electrical designers estimating rack and row kW from GPU count, TDP, and host/network overhead before facility quotes.

Not ideal for: Network fabric architecture, chip-level thermal CFD, or final NEC ampacity studies—those need specialized design beyond screening math.

Quick answer

Rack kW ≈ (GPU count × GPU kW) + host kW + network kW + 15% margin. Per-GPU planning often uses 0.3–0.7 kW for datacenter accelerators—verify OEM TDP for your SKU. kVA ≈ rack kW ÷ PF (often 0.95).

Start with UPS Load Calculator

GPU power reference (planning TDP)

Accelerator screening watts per unit (verify OEM datasheets)
Accelerator classPlanning kW / GPUNotes
Previous-gen datacenter GPU0.25–0.35 kWLower TDP training/inference mix
H100-class / high TDP0.35–0.70 kWWorkload and power cap dependent
Multi-GPU node (per GPU share)Same rangesSum all GPUs in chassis
Host CPU + memory0.5–1.5 kW per nodeAdd once per server, not per GPU
ToR switch (allocated per rack)0.3–0.8 kWShare across racks if metered separately

Last reviewed: June 2025. TDP varies by SKU, firmware cap, and workload.

Rack kW examples by GPU count

GPU rack rollup (0.5 kW/GPU, 2 kW host+network, 15% margin)
ConfigurationSubtotal kW+15% marginkVA @ PF 0.95
4× GPU rack4 kW~4.6 kW~4.8 kVA
8× GPU rack6 kW~6.9 kW~7.3 kVA
8× GPU @ 0.7 kW each7.6 kW~8.7 kW~9.2 kVA
16× GPU dense tray10 kW~11.5 kW~12.1 kVA

Row and facility screening

From GPU rack to hall-level planning tasks
TaskGivenScreening result
Row kW (10 racks)10 × 6.9 kW~69 kW IT row
PDU / branch7 kW rack @ 208V 3φ PF 0.95~20 A/phase + margin → see PDU sizing
Transformer (AI row)69 kW @ PF 0.95 + 25% margin~91 kVA — see step-down transformer
UPS kVA (single rack)7 kW @ PF 0.95 + 20% margin~8.8 kVA frame screening
PUE (liquid-assisted hall)500 kW IT, PUE 1.2600 kW facility — see PUE planning

Three-phase ampacity context: 3-phase power calculation examples. Data center transformer methodology: Transformer sizing for data centers.

UPS kVA screening for GPU racks

UPS frame screening vs rack kW (PF 0.95, ~20% margin)
Rack kWPlanning kVATypical use
~5 kW~6–7 kVASmall inference rack
~7 kW~8–10 kVA8× GPU training rack
~12 kW~15 kVADense GPU node
~20 kW~25 kVAUltra-density—dual feed review

Verify backup minutes separately in UPS for server rack—do not size UPS on kVA alone.

Liquid cooling note

Direct-to-chip or rear-door heat exchangers may improve facility PUE but do not reduce electrical feed kW at the rack PDU—size power for full IT draw. Cooling pump power may appear in facility numerator for PUE, not in rack IT kW.

Key variables

  • GPU TDP vs cap: Firmware power caps lower average draw but peaks matter for breaker coordination.
  • Host and storage: CPU, NVMe, and NIC watts add to GPU subtotal per node.
  • Network: ToR and spine allocation depends on meter boundaries.
  • Margin: 15–25% common; AI refreshes may need upper band until metered.
  • Redundancy: Dual-cord servers need A+B feed sizing policy.
  • Simultaneity: Row sums may use <1.0 only with measured job alignment.

Worked example: 8× GPU rack

8 GPUs × 0.5 kW = 4 kW; host + NIC ≈ 2 kW; subtotal 6 kW; 15% margin → ~6.9 kW rack planning figure. At PF 0.95 → ~7.3 kVA for UPS branch screening. At 208V 3-phase → ~19 A/phase before margin—coordinate with PDU sizing.

Verify rack kW — load calculator

Roll up GPUs, hosts, and network gear in the UPS Load Calculator, then convert to kVA and check upstream redundancy.

Use UPS Load Calculator

See also: Data center transformer guide · kW vs kVA · Rack power density

Next steps

AI infrastructure planning path

  1. GPU kW per unit — reference table on this page.
  2. GPU rack kW — 8× GPU worked example.
  3. Rack kW / density
  4. PDU sizing
  5. UPS Load Calculator
  6. Server rack UPS runtime
  7. UPS redundancy (N+1)
  8. UPS Battery Calculator
  9. Step-down transformer
  10. Transformer Size Calculator
  11. Liquid cooling — note on this page; IT kW unchanged at PDU.
  12. HVAC Capacity
  13. PUE planning
  14. Generator Size Calculator

Assumptions and disclaimer

GPU TDP and power caps vary by workload, SKU, and vendor. Values on this page are planning estimates for early electrical and facility screening—not procurement or stamped design. Confirm with meter data and OEM specs before ordering PDUs, whips, and transformers.

Frequently asked questions

Back to Power applications on hub.

How much power does an H100 GPU use?

Planning range ~0.3–0.7 kW per GPU plus host/network; confirm SKU datasheets and power cap policy.

How do I size UPS for a GPU rack?

kVA = kW ÷ PF with 15–25% margin. Check N+1 and runtime separately—see UPS capacity and server rack runtime guides.

Does liquid cooling change rack kW?

IT kW at the PDU stays similar; facility PUE may improve. Size electrical feed for full rack demand.

How many kW per AI rack is typical?

~6–10 kW for moderate GPU counts; 15–30+ kW for dense training racks with latest accelerators.

What power factor should I use for GPU loads?

Screen PF 0.95–0.99; use PDU meters when available for kVA conversion.

How do I scale from one rack to a row?

Sum rack kW; apply simultaneity only with measured evidence—training clusters often use 0.85–1.0.

Do GPU racks need dual power feeds?

Most use dual cords. Size each feed for full rack load if the other cord is offline during maintenance.

How does GPU rack power affect transformer sizing?

Roll up row kW to hall kVA with overhead, margin, and harmonic derating on the step-down transformer scenario page.

What is the difference between TDP and metered GPU power?

TDP is a design rating; peaks may exceed averages. Size branches for peak or capped power policy.

Should I include network switches in rack kW?

Yes—include ToR and in-rack network unless metered on a separate branch.

Often planned together