NVIDIA Infrastructure Deployment_
Leviathan Systems is built around NVIDIA. Every deployment we execute — from a single rack to a hyperscale AI training facility — is powered by NVIDIA compute. Our teams are trained on the specific assembly procedures, cabling topologies, cooling requirements, and commissioning workflows for every current NVIDIA GPU platform.
We are not a general IT infrastructure company that also does GPU racks. NVIDIA GPU deployment is our entire business.
Platforms We Deploy_
H100 (Hopper Architecture)
80GB HBM3 memory. 700W TDP. Available in air-cooled and liquid-cooled configurations. Deployed in DGX H100 and HGX H100 form factors. The H100 established the foundation for modern large-scale AI training infrastructure and remains widely deployed across hyperscale and enterprise environments.
H200 (Hopper + HBM3e)
141GB HBM3e memory. Drop-in upgrade to the H100 platform with significantly more memory bandwidth. Same physical form factor as H100 — existing rack infrastructure can be upgraded with updated firmware and validation procedures.
GH200 (Grace Hopper Superchip)
Unified CPU+GPU architecture combining the NVIDIA Grace CPU and Hopper GPU on a single module. Connected via NVLink-C2C for high-bandwidth, low-latency data transfer between CPU and GPU memory. A fundamentally different deployment topology than standard GPU servers.
GB200 NVL72 (Blackwell)
72 Blackwell GPUs per rack. Approximately 120kW thermal load per rack. 100% liquid cooled — there is no air-cooled option. The NVL72 configuration requires a completely different approach to rack assembly, cabling, and cooling integration compared to previous GPU generations.
GB300 NVL72 (Blackwell Ultra)
288GB HBM3e per GPU. The latest NVIDIA platform. Leviathan is currently executing active GB300 NVL72 deployments at hyperscale AI training facilities. Liquid cooling mandatory. Higher power density and more complex cabling topology than GB200.
For detailed specifications on each platform, visit our GPU platform pages.
What We Deploy_
DGX Systems
NVIDIA DGX is a purpose-built AI system — a complete, integrated GPU server. Leviathan handles the physical deployment: unpacking, racking, power cabling, network cabling, NVLink interconnect routing, cable management, and POST verification. DGX systems arrive as integrated units, but they still require skilled physical deployment and integration into the data center fabric.
HGX Platforms
NVIDIA HGX is a GPU baseboard designed for integration into OEM server platforms from Dell, Supermicro, and others. HGX deployments involve more assembly than DGX — the GPU baseboard is installed into the OEM server chassis along with CPUs, memory, networking, and storage. Leviathan handles the full build from bare rack through POST.
NVLink and InfiniBand
Every NVIDIA GPU cluster depends on two interconnect layers: NVLink for GPU-to-GPU communication within a node or rack, and InfiniBand for node-to-node communication across the cluster. Routing these interconnects correctly is critical to cluster performance. Leviathan's teams are trained specifically on NVLink topology for each platform generation — because the routing is different for H100, GB200, and GB300.
Our NVIDIA Deployment Services_
GPU Rack Assembly & Integration
Full mechanical and electrical build of NVIDIA GPU racks
Structured Cabling & Fiber
OM4/OM5 fiber, MPO/MTP trunking, DAC, AOC, AEC interconnects
Network Testing & Commissioning
OTDR testing, insertion loss, copper certification, full documentation
Liquid Cooling Integration
CDU installation, manifold routing, leak detection — required for all GB200 and GB300
Track Record_
We have assembled over 1,500 GPU racks across every current NVIDIA platform generation. Our team members have deployment experience at facilities operated by Meta, Oracle, xAI, and Computacenter. We are currently deploying GB300 NVL72 infrastructure at a hyperscale AI training facility.
Ready to deploy NVIDIA infrastructure? Contact us →
Ready to Deploy Your GPU Infrastructure?_
Tell us about your project. Book a call and we’ll discuss scope, timeline, and the best approach for your deployment.
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