Run inference in-house. Keep your data, models, and costs under your roof.
No per-token billing. No data leaving the building. No platform deciding what your team can do with it.
EDGESTACKTM
Hardware, models, software. Designed as one.
01EdgeFrameTM
Compute, on your premises.
On-premise inference hardware, from a compact node to H100-class servers. You own it, we run it.
02Model library
Tuned to your business.
Open-weight to frontier, reinforcement-tuned on the work that actually matters to you.
Software suite interface — coming soon
03Software suite
Open, and yours.
Built natively for EdgeFrame, or wired straight into the tools your team already uses.
What does the right setup look like for you?
Your setup
EdgeFrame
Mac Mini / A10-class local compute
Software
Foundation
Model strategy
Open-weight, small
Cost route
Why this match
- →Capacity score 5/19, weighted across team size, intensity, performance, sensitivity, and integration.
- →Foundation maps to your business type and the workflow you picked first.
- →Open-weight, small keeps heavier models reserved for the work that needs them.
Estimates are planning ranges. Final pricing depends on integrations, security requirements, support level, and whether Ramuse or the customer owns the hardware.