Private AI · On-premises

AI that runs in your building.

For data that should not leave your facility, or workloads that need local performance, on-premises AI puts models on hardware you own — with Growth Mode managing the hard parts.

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When on-premises makes sense

On-premises AI is a strong fit when data residency matters, connectivity is limited, workloads are steady, or leadership wants physical control.

Sensitive documents and internal knowledge search
Manufacturing, vision and edge workloads
Environments with strict network separation
Predictable high-volume inference

Integrated with the rest of IT

An AI server is still a server on your network. We plan power, cooling, network segmentation, identity, backup and monitoring alongside the model itself, coordinating with your IT team or with Your Local IT Dept.

GMTWhat we manage

Site and workload assessment
Hardware specification and procurement coordination
Installation, OS and model runtime setup
Network segmentation and access control
Monitoring, patching and model updates
Documentation and handover options

Hardware is subject to manufacturer warranties, availability and lead times. Hardware sales follow the Terms of Service.

FAQCommon questions

Do we need a data center?

Not always. Many workloads run on a well-specified server in an existing equipment room with appropriate power and cooling. We assess your site first.

Who owns the hardware?

Typically you do. Purchase, leasing and ownership are defined in your agreement.

The humans your AI calls for tech support

Describe the workload you want to keep in-house.

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