BBrainOutput
deployment

Local AI Appliance Deployment

A local appliance puts your agents on a quiet box on-site. It's the lowest-cost-per-request, highest-privacy way to run everyday agents for a single office, property or team.

Best for

SMBs, single sites, confidential data and predictable everyday workloads. Data never leaves the premises.

Sizing

Start with a 12–16GB appliance for a private assistant and light RAG; step up to 24–48GB for serious agents. The compatibility engine sizes models to memory automatically.

All deployment options

Local appliance

A quiet box on-site running your agents. Lowest cost per request and full data residency for a single office or property.

Best for: SMBs, single sites, confidential data, predictable everyday workloads.

On-prem server

A workstation or server in your rack or closet, serving many agents and larger models to a whole team or department.

Best for: Departments, regulated data, high steady volume, multi-agent platforms.

Cloud GPU

Rented GPUs in your own cloud account for bursts, the largest models, or before you've validated volume — no hardware to own.

Best for: Spiky demand, frontier models, pilots, overflow capacity.

Hybrid

Everyday private agents run locally; heavy or occasional jobs burst to the cloud. The pragmatic default for most businesses.

Best for: Most real deployments — control and cost locally, elasticity in the cloud.

Recommended hardware

Frequently asked questions

Is a local AI appliance private?+

Yes — prompts, documents and the model all stay on your hardware. It's the most private deployment mode.

Run Local AI Appliance Deployment on a private AI Business OS

Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.

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