Penton Systems / Projects / Seven-node Raspberry Pi cluster
Case study Distributed computing and private AI
Seven-node Raspberry Pi cluster
A distributed-computing and private-AI testbed built from Raspberry Pi hardware.
Experimental
Challenge
Teams need a low-cost, low-power environment to try distributed workloads and local AI before committing hardware budget.
Approach
Seven Raspberry Pi nodes with a monitoring dashboard and coding-assistant experiments, plus Raspberry Pi 5 NVMe storage trials. Workloads are spread across nodes to learn how scheduling, storage and monitoring behave on modest hardware.
Status and outcome
Experimental. Findings inform the hosting and AI services; no production workload depends on it.
Status labels on this site: completed work is in use; experimental work informs services but carries no production load; prototypes are unproven; planned work is not started.
More Other case studies
Other case studies
- Prototype
Sony Dash modernization
Relaunching a legacy Sony dashboard device with a modern software stack.
Read - Completed
Aurora monitoring dashboard
Operational monitoring source and sanitized runbooks for the Orlando environment.
Read - Completed
Infrastructure recovery runbooks
Configuration, scripts and runbooks for infrastructure recovery, with secrets excluded.
Read - Prototype
Pi Arcade home LAN dashboard
An independent gaming dashboard for a home LAN, using original test generators.
Read - Planned
Additional hosting sites
Extending the architecture beyond the Orlando site.
Read