High-Density AI Racks in Princeton, NJ | JustColo
Purpose-built for GPU clusters, AI training, and HPC workloads. 15kW to 100kW+ per rack with direct-to-chip liquid cooling.
High-Density Rack Options for AI Workloads
From standard enterprise deployments to liquid-cooled GPU clusters, we have the infrastructure to match your requirements.
- CRAC/CRAH precision cooling
- Hot/cold aisle containment
- Flexible cabinet configurations
- Ideal for mixed IT workloads
- Rear-door heat exchangers
- In-row cooling units
- GPU-optimized layouts
- AI/ML training ready
- Direct liquid cooling (DLC)
- NVIDIA DGX compatible
- AMD Instinct cluster ready
- Custom HPC builds supported
Why High-Density Colocation Matters for AI
Standard 5kW racks cannot support modern GPU servers. A single NVIDIA H100 server draws 10kW+. Dense AI training clusters with 4-8 GPU servers per rack require 40-80kW — impossible in legacy data centers designed for 5-7kW average densities.
JustColo is designed from the ground up for high-density — not retrofitted. Our power distribution, cooling capacity, and floor loading are engineered for the realities of modern AI infrastructure.
Cooling architecture: We deploy CRAC/CRAH precision cooling with hot/cold aisle containment, in-row cooling for targeted heat removal, free cooling economizers for efficiency, and liquid cooling infrastructure for the highest densities.


Liquid Cooling for High-Density GPU Racks
Direct-to-Chip (DLC)
Coolant flows directly to CPU and GPU cold plates, removing heat at the source. Enables rack densities of 100kW+ with superior thermal management.
Rear-Door Heat Exchangers (RDHx)
Hot exhaust air is captured and cooled at the rack rear before entering the room. Ideal for 20-50kW racks without modifying servers.
Supported Platforms
- NVIDIA DGX H100, A100, H200 systems
- AMD Instinct MI300X clusters
- Custom HPC and AI training builds
Redundant Power for GPU Workloads
Bloom Energy Fuel Cells
Behind-the-meter natural gas fuel cells provide clean, stable power for power-hungry GPU workloads. Lower cost than utility power with reduced carbon footprint.
N+1 Redundancy
No single point of failure in our power distribution. UPS systems, generators, and automatic transfer switches ensure continuous operation for your AI training runs.
Dedicated Circuits
High-density PDUs with dedicated circuits per rack available. Monitor power consumption at the outlet level with full DCIM integration.

Cloud & Hybrid AI Connectivity from Princeton NJ
Low-latency connections to AWS, Azure, and GCP via our carrier hotel network. Ideal for hybrid AI architectures — train on-premises, deploy inference to the cloud.
Frequently Asked Questions
Discuss Your AI Infrastructure at JustColo Princeton
Opening January 2027. Reserve capacity now for your GPU clusters and AI training workloads.
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