GPU colo quote
GPU Colocation Quote Prep Tool
Use this tool to turn GPU count, rack density, cooling, network, support, and timeline needs into a quote-ready colocation brief.
The output helps buyers compare provider responses on the same assumptions instead of accepting incomplete price quotes.
How to use this calculator
Use before submitting a high-density colo request to providers, brokers, or marketplaces.
- 01
Enter the buyer scenario
Start with the editable gpu colo quote inputs and replace defaults with current quotes, tariffs, engineering values, or buyer assumptions.
- 02
Review the modeled outcome
Use the modeled outcome, decision checks, and copied brief to compare the scenario against buyer constraints.
- 03
Verify the result before acting
Check the caveats, source table, and related guides before treating the output as a quote, bid, or final site decision.
Calculator inputs
Scenario defaults are editable. Replace them with current quotes, utility tariffs, tax counsel inputs, or engineering values before relying on the output.
Quote-ready
Modeled outcome
Send the same brief to each provider and require line-item responses for power, cooling, network, make-ready, SLA, and expansion rights.
Total critical power
880 kW
GPUs per rack
16
Complexity score
65 pts
Decision checks
- Total critical load: 880 kW
- Complexity score: 65
- GPUs per rack: 16
Quote fields
- Committed critical kW and metered power treatment
- Rack density and breaker or busway limits
- Liquid cooling boundary and facility loop readiness
- Cross-connect NRC, MRC, lead time, and carrier list
- Remote hands SLA and included support hours
- Expansion rights and make-ready timeline
Provider questions
- What critical kW is committed on day one, what is build-required, and what breaker or busway limit applies per rack?
- Where does the provider cooling boundary end, and which liquid-cooling components are included versus buyer-supplied?
- What cross-connect NRC, MRC, carrier availability, cloud on-ramp lead time, and bandwidth commit apply to this quote?
- What expansion capacity can be reserved, for how long, and under what pricing or deposit terms?
Evidence to request
- Facility cooling specification for direct-to-chip deployment, including supply temperature range, heat rejection path, leak detection, and service boundary.
- Electrical one-line or commercial evidence for committed critical kW, breaker limits, busway limits, and metered power treatment.
- Carrier list, cloud on-ramp options, cross-connect pricing, cross-connect lead time, and demarcation responsibility.
- Acceptance-test plan covering load bank, cooling stability, leak response if liquid cooled, and remote-hands escalation.
Risk flags
- High committed bandwidth and 6 cross-connects make network lead time part of the quote, not an afterthought.
- Liquid cooling quote must define facility loop boundary, supported supply temperatures, leak detection, and service responsibility.
How does the gpu colo quote model work?
The tool calculates total critical kW, likely density tier, network and support complexity, and the minimum provider response fields needed for an apples-to-apples quote. It does not estimate live market pricing. The buyer brief pushes providers to specify included power, cooling boundary, metered power treatment, cross-connect pricing, remote hands, SLA, expansion rights, and make-ready timeline.
What should buyers verify before using the result?
- Provider quotes can vary based on metered power, cooling inclusions, term, credit, deployment schedule, and expansion rights.
- A quote-ready brief does not prove a site can support the load; verify electrical, mechanical, and operational readiness.
- High-density GPU deployments should include acceptance testing and commissioning expectations.
Related guides and tools
Which sources support this gpu colo quote model?
| Source | Use in this tool | Link |
|---|---|---|
| QuoteColo high-density colocation quote tooling | Competitive quote-prep pattern for high-density colocation buyers. | Open |
| Netrality high-density colocation for AI and GPU infrastructure | High-density rack power and GPU colocation context. | Open |
| TRG guide to colocation for GPUs | GPU colocation power and density buying criteria. | Open |
| Flexential liquid cooling for high-density colocation | High-density colocation and liquid cooling fit context. | Open |
| ASHRAE TC 9.9 liquid cooling white paper | Liquid cooling design context for high-density data centers. | Open |
| Uptime Institute Global Data Center Survey 2025 | Data center efficiency and operations benchmark context. | Open |