Colocation

    Built around
    your compute.

    Power, cooling and space
    for high-density AI.

    Plan your deployment

    Estimate your colocation cost.

    Compare cooling rates for your GPU capacity.

    1.4 kW board power per GPU.

    72 GPUs per NVL72 rack. Partial-rack quantities are planning estimates.

    Cooling

    USD per kW / month

    Estimated monthly cost

    From$17,640To$20,160
    GPU board power
    100.8 kW
    Liquid cooling rate
    $175–$200 / kW / month

    Host/server power and site overhead are excluded. Final configuration, cooling and pricing require a technical review.

    Request this configuration
    Explore the hardwareGB300 NVL72 · DGX B300 · RTX PRO 6000

    Power first. Everything else follows.

    Reserved capacity across six states. Explore the locations in our development pipeline.

    Reserved power
    1,346 MW
    Planned sites
    18

    Utah

    Washington, Wasatch Front & Vernal

    946MW reserved
    across 7 sites

    Built for AI factories.

    Blocks of tens of megawatts.

    Plan halls and expansion around your capacity needs. Site availability and expansion terms are confirmed during review.

    Concept campus. Configuration varies by site.

    From agreement
    to deployment.

    A target of about three months.

    Timing depends on configuration and site readiness. Confirm the schedule in your agreement.

    1. Agree the scope

      Confirm your capacity, hardware and site requirements. Set the delivery schedule in your agreement.

    2. Engineer the deployment

      Plan power, cooling and connectivity around the hardware and its operating requirements.

    3. Build and integrate

      Prepare the facility and bring the electrical, cooling and network systems together.

    4. Validate and hand over

      Commission the infrastructure, complete acceptance checks and hand over the deployment.

    Megawatts move fast here.

    Blocks are allocated in waitlist order. Claim yours.

    Reserve colo capacity