Custom GPU servers for AI hosting

Need to lease the hardware? Talk with us about a GPU server configured around your workload, with full administrative control and a clear monthly proposal.

A configuration starts with a conversation.

Share the hardware specification you need or the requirements your technical team has established. We will review a sourced or leased configuration, including the facility fit and physical support. Each proposal confirms the components, availability, delivery schedule and price before you commit. If you already have systems, we can plan colocation instead.

Specify the whole system.

GPU model alone is not a complete server specification. Match the accelerator to the host system and the way your software uses it.

Custom GPU server quote checklist
Planning areaWhat to consider
GPU configurationPreferred model, number of devices, required memory per GPU and application compatibility.
Host resourcesCPU requirements, system RAM, PCIe requirements and supported operating system.
StorageUsable capacity, read/write workload, local working storage and separate backup needs.
NetworkingServer uplink, monthly traffic and any required connections between nodes.
Physical designChassis, power draw, airflow or other cooling requirements, and supported rack installation.

Full access to run your own stack.

Your team controls compatible drivers, runtime libraries, containers and application services on the leased server. Keep responsibility for software versions, security updates, licenses and performance testing with the people who know the workload. ServerPronto handles the agreed physical hosting and hardware service.

Plan timing and the monthly total.

Include your target installation date and expected service period. The quote should identify hardware, power, bandwidth, setup, software licensing if selected and hardware support terms. For a larger deployment, include the next expected growth step so the facility requirements can be reviewed together.

A few practical answers.

Can you quote a specific GPU?

Yes. Send the requested model and system specification. We will confirm whether we can provide it and the associated lead time and pricing.

Can I provide my own GPUs or complete servers?

Colocation is the clearest starting point for complete customer-owned systems. Discuss any mixed ownership or installation requirements with our team before sending equipment.

Explore your options.

Dedicated servers for AI workloads

Lease dedicated hardware for AI workloads with full root access. Plan CPU, GPU, memory, storage and bandwidth with ServerPronto in Miami.

Learn more

AI hardware & GPU server colocation in Miami

Colocate your GPU and AI servers in Miami. Plan rack space, power, cooling, bandwidth, physical security and on-site support with ServerPronto.

Learn more

AI hosting costs: dedicated, colocation or cloud

Compare AI hosting cost components across dedicated-server leasing, hardware colocation and cloud services, using your actual usage and support requirements.

Learn more

Talk hardware. Talk to us.

Share your equipment, power, connectivity and timing requirements. We’ll work through the physical deployment with you.