High-density GPU compute
Professional-grade inference GPUs and server-class CPUs in a pre-validated configuration, built for LLM, vision and retrieval workloads.
Distributed AI Infrastructure
Private AI compute, deployed outdoors. Cooled by liquid.
Plug-and-play liquid-cooled AI nodes with a ready-to-run inference stack. No new data hall. No cloud lock-in. Your models and your data stay on your site.
IP55+Outdoor-rated enclosure
LiquidCold-plate cooling for dense GPUs
DaysFrom delivery to live inference API
On-siteData never leaves your premises
Why RocTech
Hardware, cooling and software, delivered as one system.
Building AI capacity usually means three suppliers, a new machine room and months of waiting. We integrate compute, thermal management and the inference stack into a single outdoor node you can order, place and switch on.
Liquid cooling, built in
Direct-to-chip liquid loops keep GPUs at stable temperatures, run quieter than air-only designs, and open the door to waste-heat reuse.
Ready-to-run AI stack
Container runtime, OpenAI-compatible inference APIs, curated model packs and a fleet console, installed and tested before shipping.
How it works
From site survey to live inference.
01
Assess
We review your workloads, site, power and network, and recommend the right node configuration.
02
Build
Nodes are assembled, burn-in tested and loaded with software at our facility.
03
Deploy
On-site placement and commissioning. Connect power, network and water-side services.
04
Operate
Remote monitoring, updates and support keep your fleet healthy.
Where it fits
Built for sites without a data hall.
Smart manufacturing
Vision inspection, predictive maintenance and plant-floor assistants with low latency.
Telecom & edge
Distributed inference at base stations, exchanges and edge colocation sites.
Healthcare & finance
Regulated data stays inside your perimeter while you run modern AI models.
Campuses & industrial parks
Shared private AI capacity for tenants, research teams and internal tools.
Tell us about your AI workload.
Share your use case and site details. Our engineers will come back with a recommended configuration and a deployment plan.
Get in Touch