AI Hardware Deployments

Running AI on your own hardware keeps sensitive data inside your office, avoids unpredictable per-use fees, and gives you full control over which models you use. We plan, build, and maintain AI infrastructure sized to your workload, from a single workstation to a high-availability cluster.

We handle the entire deployment: hardware selection and procurement, installation, model serving, security, and ongoing support.

Deployment options

AI workstations

A GPU-equipped desktop for an individual developer, analyst, or small team experimenting with local models.

On-premises inference servers

Dedicated GPU servers that host language models and AI tools for everyone in the office over your private network.

Cluster deployments

Multi-node Kubernetes clusters with shared storage and failover, for organizations that need capacity and uptime.

Hybrid deployments

Keep sensitive workloads on-site while using cloud capacity for everything else.

What's included

Sizing based on your models, users, and workloads
Hardware sourcing and procurement
Operating system, driver, and container setup
Model serving and a secure chat interface for staff
Firewall, VPN, and access control configuration
Backups and system monitoring
Ongoing updates and support

Choosing the right fit

The right system depends on the size of the models you want to run, how many people will use them at once, and whether you need the system to stay available during maintenance or a hardware failure. Power, cooling, noise, and available space also matter for equipment installed in an office. We'll walk you through the trade-offs and recommend a setup that fits your needs and your budget.

Call us at (732) 333-3990 to plan your AI hardware deployment.