GPU & rack-system manufacturers
Evaluate rack architecture, accelerator variants, power envelopes, liquid-cooling interfaces, networking and supported inference workloads.
OEM & strategic collaboration
Aguasto is developing a modular AI infrastructure platform. We welcome technical and commercial conversations that help turn a coherent development thesis into verified engineering and operating plans.
Evaluate rack architecture, accelerator variants, power envelopes, liquid-cooling interfaces, networking and supported inference workloads.
Investigate enclosure design, electrical distribution, heat rejection, factory integration, site interfaces and commissioning requirements.
Define model licenses, memory needs, runtime support, workload evaluation and the operating conditions for future model hosting.
Discuss latency, data handling, model choice, dedicated capacity requirements and the evidence needed before a commercial deployment.
Align electrical protection, utility-authorized service, thermal design, observability and network resilience to an actual system specification.
Evaluate development phases, project dependencies, utilization scenarios and operating responsibilities without assuming committed financing.
Which checkpoints, precision formats, concurrency and latency targets should the system support? What evidence demonstrates the proposed server and rack combination?
What are the actual input power, liquid-cooling, heat-rejection, floor-loading and network requirements? Which responsibilities sit with the OEM, integrator and facility developer?
What remains conditional on qualification, procurement, utilities and permits? How would commissioning, warranty, maintenance and acceptance criteria be documented?
Use the published company email to introduce your organization, relevant capabilities and the questions you would like to explore. The website contact page prepares an unsent draft; online inquiry delivery is intentionally disabled.