The hardware behind your AI
The starting system can fit on a desk. The right hardware depends on the models, the information and how your team uses it.
A compact setup with defined roles
An example setup pairs a DGX Spark with a Mac mini. Your pilot may use a different, comparable configuration. We select the hardware around the workload and agree it before kickoff.
Your private foundation
Final hardware selected for your workflows
AI, running on your own hardware.
Compute runs the selected models locally. Capacity depends on the models and the work your team needs them to do.
Example setup / Local model compute
NVIDIA DGX Spark
Runs the selected local AI models. Its unified memory gives those models room to work with the context your workflows need.
- Compute
- GB10 Grace Blackwell
- Unified memory
- 128 GB
- Footprint
- 150 × 150 mm
Apple Mac mini
In this example, Mac mini hosts workflow services, connectors and access tools. The final devices and their roles are confirmed during scoping.
Example hardware specifications: NVIDIA. The interactive drawing is generic illustrative compute, not a DGX Spark model.