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 moreRun your models where your users need them. Host your inference hardware in Miami, retain administrative control and choose the serving software that fits your application.
Inference turns model inputs into results for an application. Start with the model, precision, expected request rate and peak concurrency. An interactive assistant, an image-processing queue and a batch classification service have different performance goals. Your team benchmarks the model and serving stack; we help plan the hardware and physical hosting around the resulting requirements.
Use a representative workload to define the server configuration and network requirements.
| Planning area | What to consider |
|---|---|
| Response targets | Target time to first result, overall response time and acceptable queueing at peak load. |
| Model memory | Space for model weights and runtime needs, including context and concurrent requests where applicable. |
| Application services | CPU and RAM for APIs, retrieval, databases, authentication and background processing. |
| Network paths | Locations of users and data sources, expected bandwidth and monthly data transfer. |
| Availability | Multiple service instances where needed, health checks, update procedures and recovery plans. |
Miami can serve as a primary application location or a regional deployment alongside infrastructure elsewhere. Evaluate routes to your users in the US and Latin America as part of the design. Model execution time and application dependencies also affect response time; city location alone is not a latency guarantee.
Deploy your preferred compatible serving stack with full root access on a dedicated server, or colocate systems you own. You manage model versions, API security, scaling and software monitoring. ServerPronto supports the agreed hardware and facility environment, with direct access to people who can help with physical issues.
No. You deploy and operate your own model-serving software and APIs on the hosted infrastructure.
Some models and workloads can run on CPUs. Your team should benchmark the model against response-time and throughput requirements before selecting a CPU or GPU configuration.
Lease dedicated hardware for AI workloads with full root access. Plan CPU, GPU, memory, storage and bandwidth with ServerPronto in Miami.
Learn moreHost hardware for private enterprise AI applications in Miami. Retain control over software, model access and data handling on your own environment.
Learn moreDiscuss a custom GPU server lease in Miami. Specify GPU memory, CPU, RAM, storage and networking for customer-managed AI workloads.
Learn moreShare your equipment, power, connectivity and timing requirements. We’ll work through the physical deployment with you.