Pole application
Edge AI Infrastructure
Research a practical remote foundation for on-premise sensing and local AI workloads where sending everything away from site may not be the right starting point.
The practical starting point
Plan the site before choosing the specification.
Remote AI projects need more than a model or a camera. They need a realistic view of site power, connectivity, local equipment, data handling and the physical environment where the system will operate.
Transparent next step
Jousto shows confirmed catalogue products and prices where they exist. For this use case, the final project scope is shaped by the site rather than hidden behind a generic form.
See current Pole listingsPower · Comms · Compute
Three parts of a viable remote system.
Power
Start with the actual operating loads and duty cycle of the sensors and local equipment.
Comms
Define what data needs to leave the site and what must remain available when connectivity changes.
Compute
Clarify the local processing task, inputs and response required before selecting any hardware.
Research before you enquire
Useful information to collect.
- Define the operational decision the AI system is intended to support.
- Map data sources, connectivity and retention needs.
- Identify environmental, enclosure and service constraints early.
Sizing prompts
Questions that make the next step more useful.
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