Cloudnium's datacenters in some regions are able to support the high-density power and cooling demands of AI and HPC workloads. We offer scalable rack space, robust power delivery, high-throughput connectivity, and optional remote hands to support your deployment of GPU clusters, AI training rigs, or scientific compute infrastructure.
Host your infrastructure in one of our state-of-the-art facilities with 24/7 access, redundant power and connectivity, and expert remote hands. Whether you need 1U or a full cage, Cloudnium has space for you.
Deploy a traditional VPS on our premium hardware.
Deploy your own Private Cloud with dedicated resources, custom networks, and scalable storage.
Explore Private CloudHigh-performance dedicated servers featuring Intel v4, AMD EPYC, and Ryzen processors. Available with 1G, 10G, or 40G dedicated bandwidth and optional management.
Explore Dedicated HostingExplore side-by-side pricing and features of our colocation offerings across regions to find the best fit for your needs.
Expert strategy and advisory services tailored to your infrastructure goals.
Complete lifecycle management for your data center environments.
High-scale, energy-efficient colocation solutions for AI and compute-heavy workloads.
Innovative power solutions using hydrogen fuel cell backup technology.
Deployment and tuning services for FreeBSD and UNIX-like environments.
AI and HPC colocation in Chicago - Lombard and Phoenix - Tempe, with 20kW per cabinet densities.
Purpose-built colocation for dense compute, AI training, inference, and high-bandwidth HPC workloads.
20kW per cabinet densities in Lombard and Tempe, with cabinet and multi-cabinet deployment options.
Cooling strategy for GPU workloads, dense cabinets, and future support paths for liquid-assisted deployment models.
Private network design, high-throughput transport, and market selection for AI training, inference, and data movement.
We help design GPU-focused node pools for model training, inference pipelines, and HPC tasks. Each cluster is planned around power, cooling, network, and deployment timing.
Multi-market deployments can use private network planning for distributed training, replication, and data movement across regional footprints.
AI colocation requires disciplined power, thermal, and network design. Cloudnium helps shape the right footprint before hardware lands.
Deploy AI, inference, and HPC workloads at our Chicago - Lombard and Phoenix - Tempe facilities. Both support 20kW per cabinet densities. Contact our team for current power availability and deployment timing.
Our Lombard facility supports private GPU clusters and Midwest compute deployments, with two diverse power feeds, biometric and keycard access controls, and 24/7/365 security.
View Lombard Facility Request Lombard Capacity
Our Tempe facility offers locking cabinets and caged space for Southwest GPU deployments, with 1.25MW backup power and multiple diverse-path 10Gbps providers.
View Tempe Facility Request Tempe CapacityPlan across Lombard and Tempe for distributed AI workloads, replication, and regional inference. Our team can coordinate cabinet counts, power, and deployment timing across both facilities.
Request a custom quote or schedule a design session with our AI infrastructure team.
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