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 moreAI agent hosting on dedicated servers
Give your AI agents a place to run, with dedicated resources and full root access. You control the agent software, tools and integrations. We handle the agreed hardware and facility services.
A home for the whole agent workflow.
An agent deployment can include persistent workers, scheduled tasks, API endpoints, browser automation, task queues and databases. Host the components your application needs in an environment your team administers. Choose compatible runtimes, install dependencies and control how processes start, restart and communicate. Your software design determines what the agents can do; the dedicated server provides the resources to run it.
You may not need a GPU.
Separate running the agent from running its underlying model. If your agent calls an external model API, a CPU dedicated server can host its orchestration and supporting services. If you also host a model locally, size the compute for that model and its response-time requirements. Some local models can run on CPUs; other workloads call for GPUs.
| Component | What to plan |
|---|---|
| Agent workers and APIs | CPU and RAM for concurrent tasks, language runtimes, web services and scheduled jobs. |
| Browser automation | Memory and CPU for the number of simultaneous browser sessions and their workload. |
| State and retrieval | Database capacity, search or vector indexes, storage performance and backup requirements. |
| External model APIs | Network access, API credentials, provider rate limits and model usage charges paid to the provider. |
| Locally hosted models | Model memory, inference throughput and any GPU requirements, validated with your workload. |
Root access. Your operating choices.
Configure compatible services, containers and operating-system settings without being limited to a predefined agent platform. Your team chooses the software stack, deployment schedule and resource allocation. Run long-lived processes or background workers as your application requires, within the selected hardware capacity, software licenses and acceptable use policy. You also manage application updates, monitoring and agent behavior.
Build for tasks that keep running.
Decide how workers recover after a restart, how queued tasks are retried and where durable state is stored. Separate development credentials from production access and give each agent only the permissions its tasks need. Establish task limits, logs and human approval for consequential actions. Protect API keys and remote administration, and test database and configuration backups. These controls belong to your software environment; physical hosting supports the foundation beneath them.
Real people behind the infrastructure.
Talk with our team about hardware, bandwidth, power and the physical facility. Lease a dedicated server with hardware support, colocate equipment you own or discuss the hardware behind a private cloud. Your engineers operate the agents, integrations and AI software. For a useful quote, share concurrent workers, browser sessions, storage needs, expected data transfers and whether models run locally or through external APIs.
A few practical answers.
Do AI agents require a GPU server?
Not necessarily. Agents that call externally hosted models can run their orchestration and supporting services on suitable CPU servers. Locally hosted models need hardware sized to their own memory and performance requirements.
Will ServerPronto install or manage my agents?
Your team installs and manages the agent framework, models, tools, credentials and applications. ServerPronto provides the agreed hardware and facility services.
Are model API fees included?
No. Any external model API, software license or third-party service is arranged and paid for separately unless explicitly included in your proposal.
Can I run persistent workers and browser automation?
Yes, you can configure compatible software on your dedicated server with full root access. Size CPU, memory and storage for the workload and operate it within the acceptable use policy and any applicable third-party terms.
Explore your options.
AI inference & LLM hosting in Miami
Host infrastructure for production AI inference and LLM applications in Miami. Control your model-serving stack on dedicated or customer-owned hardware.
Learn moreHosting for AI companies & startups
Host AI company infrastructure in Miami with hardware colocation, dedicated-server leasing and direct support for facility and hardware needs.
Learn moreTalk hardware. Talk to us.
Share your equipment, power, connectivity and timing requirements. We’ll work through the physical deployment with you.