AI training infrastructure in Miami
Plan hardware and colocation for AI training: compute, datasets, checkpoint storage, power, cooling and network requirements.
Learn moreYour AI hardware belongs in a facility built to support it. Bring your servers to Miami and keep control of your systems while we handle the agreed space, power and connectivity.
Colocation gives equipment you own a physical home without building and operating your own server room. Your team chooses the systems and software; ServerPronto provides the facility services in your proposal. Talk directly with us about equipment delivery, installation requirements, access and ongoing hardware assistance.
GPU systems can have very different physical and electrical requirements. Review the actual equipment specification, rather than assuming that rack space alone determines compatibility.
| Planning area | What to consider |
|---|---|
| Rack footprint | Chassis height, depth, weight, rail requirements and the number of systems. |
| Power | Expected sustained and peak draw, voltage, connectors and power-supply arrangement. |
| Cooling | Manufacturer requirements, airflow direction, heat output and any specialized cooling needs. |
| Network | Port speeds, traffic, addressing, private links and inter-node requirements. |
| Operations | Delivery timing, authorized contacts, maintenance access and requested on-site tasks. |
Our owned Miami facility combines redundant network connections, UPS systems, diesel generators and controlled physical access. Work with our team to define connectivity, power allocation and hands-on assistance. Your colocation agreement defines the service scope; maintenance and replacement of customer-owned components are planned separately from dedicated-server leasing.
Include your expected equipment additions and power growth in the initial conversation. Space, electrical capacity, cooling compatibility and any reservation arrangements are confirmed for the deployment. Your team retains administration of the operating system, drivers, models, network configuration within its environment and application security.
We review the actual system requirements before accepting a deployment. Send the manufacturer specifications so we can confirm rack, power and cooling compatibility.
For customer-owned equipment, agree on spare parts, manufacturer warranty handling and any on-site replacement work in your proposal. The leased-server replacement policy does not automatically apply to equipment you own.
Plan hardware and colocation for AI training: compute, datasets, checkpoint storage, power, cooling and network requirements.
Learn moreHost the hardware foundation for a private AI cloud in Miami. Your team controls virtualization, orchestration, models and applications.
Learn moreCompare AI hosting cost components across dedicated-server leasing, hardware colocation and cloud services, using your actual usage and support requirements.
Learn moreShare your equipment, power, connectivity and timing requirements. We’ll work through the physical deployment with you.