We work with enterprise IT teams, industrial and telecom operators, and institutions that need AI compute close to their operations. Common starting points include private knowledge assistants, document processing and computer vision. We assess the workload and location before recommending on-site infrastructure.

A modular AI shelter is an insulated equipment enclosure planned for racks, power distribution, cooling, monitoring and network connections. Telecom-style shelters and walk-in enclosures provide a practical starting point. Site works, permits, utility capacity and equipment selection determine the final design and schedule.

Platform options include Supermicro GPU systems, Dell PowerEdge, HPE ProLiant and Lenovo ThinkSystem servers. We assess supported GPU configurations against model memory, concurrent users, response-time targets, power and cooling. Final models, availability and support terms are confirmed in the project proposal.

Each project is scoped around the workload and site. Pricing depends on the enclosure, GPU systems, storage, networking, electrical capacity, cooling, site works and support requirements. Share your location, use case, timeline and budget range so we can establish project fit and the next planning step.

On-site processing can help reduce dependence on remote connectivity and give your organisation more control over where data is processed. Actual latency depends on the architecture and workload. Data residency alone does not establish compliance: access controls, software, operating procedures and applicable requirements must also be addressed.