Data sensitivity
Run workloads on managed compute when financials, IP, or operational data should not leave your environment.
FORGE PRIVATE INFERENCE
Dedicated compute when volume justifies it.
As agents proliferate, inference consumption grows. At sufficient utilization, Forge Private Inference deploys and manages dedicated capacity — keeping sensitive workloads local while working with Gateway routing for the full picture.
WHEN IT MAKES SENSE
Privacy, control, and economics at scale.
Private inference is not step one for most companies. It becomes relevant when agent volume, data sensitivity, or cost structure justify dedicated capacity.
Volume economics
At sufficient utilization, dedicated capacity can outperform continuous cloud token spend.
Gateway integration
Private inference works with Forge Gateway — route sensitive work locally, frontier work to cloud models as policy allows.
WHO IT'S FOR
Often the conversation with the CIO or CISO.
When AI scale raises privacy and control questions alongside cost.
Manufacturing, distribution, and other operationally complex businesses often have ERP data, financials, and process knowledge that should stay inside the firewall. Forge Private Inference provides managed compute without asking your team to become infrastructure engineers.
It connects to the same Company Brain and agent layer as the rest of Forge — so private inference is part of one platform, not a separate silo.
NEXT STEP
Wondering if private inference fits your operation?
We'll look at your agent volume, data sensitivity, and current AI spend to see if dedicated capacity makes sense.
Questions? Email will@triadai.io