Case Study · Private AI Infrastructure

A private AI datacenter, and the model that runs on it, delivered end to end

We designed, built, and commissioned a complete on-premise AI datacenter for an enterprise client, then built and deployed a custom AI model to run on it. From an empty room to a live, private model API, the whole stack, the facility and the model, was engineered, deployed, and is maintained by Dude Lemon, so the client's most valuable data never leaves their walls.

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Private on-premise AI datacenter built by Dude Lemon

Blackwell-class GPUs in one fabric

400Gb/s

Non-blocking interconnect per node

N+1

Redundant power and cooling

On-prem

Private model, private data

Overview

Frontier-scale AI, owned and operated in-house

The challenge

The client needed frontier-scale AI capability without sending their data to a public cloud or depending on a third-party AI provider. That demanded real infrastructure: a facility that could power, cool, secure, and sustain a dense GPU cluster, and a single team that could take it from an empty room to a running model.

Our approach

Dude Lemon owned the entire stack. We specified and sourced the compute, network, storage, power, and cooling; engineered the facility for resilience and safety; installed and commissioned every layer; then provisioned the cluster, deployed a custom model we built, and exposed it as a secure private API we continue to maintain.

The outcome

A private AI platform running in the client's own facility: a dense multi-GPU cluster acting as one machine, a custom model we built and maintain serving live requests behind enterprise security, and full observability over every component, all inside their own four walls.

What we delivered

The full stack, from the power chain to the prompt

Dense GPU compute

A cluster of NVIDIA DGX systems delivering 32 Blackwell-class GPUs, configured to train and serve large models as a single, coordinated machine rather than a room of separate servers.

Non-blocking interconnect

An ultra-low-latency InfiniBand fabric links every GPU at 400Gb/s, so the entire cluster behaves as one supercomputer and large jobs scale across all of it.

High-throughput storage

An all-NVMe shared storage tier keeps models, datasets, and training checkpoints instantly available to every node, with no bottleneck between compute and data.

Resilient power

A battery-backed UPS, automatic transfer switching, and an on-site generator carry the facility through any mains disruption, with fully redundant power feeds to every rack.

Precision cooling & safety

Hot-aisle-contained precision cooling is matched to the cluster heat load, with clean-agent fire suppression and very-early smoke detection protecting the hardware around the clock.

Secured & monitored

High-availability next-generation firewalls, an isolated management network, and continuous infrastructure monitoring guard the platform and surface its health at a glance.

Services appliedAI Development Cybersecurity Security Audits

Private by design

Their walls. Their data. A model we build and run.

We developed the custom AI model, deployed it onto the cluster, and we continue to maintain it, served as a high-performance private API reachable only through controlled, encrypted access. There is no third-party model provider in the loop and no data leaving the building: the model runs on infrastructure the client owns, while we keep it current, tuned, and dependable.

Private model API

The model is served on-premise behind controlled, encrypted access, with no third-party AI provider anywhere in the request path.

Defense in depth

High-availability next-generation firewalls and a segregated out-of-band management network keep the platform isolated and protected.

Total observability

Live dashboards track GPU utilization, temperature, power draw, and facility health, so issues are seen long before they bite.

Owned outright

Every layer, compute, storage, network, power, and cooling, belongs to the client and runs inside their own facility.

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Engagement & delivery

From an empty room to a live model

Design & procurement

Specified the full stack, compute, network, storage, power, cooling, safety, and security, and sourced every component to enterprise standard.

Build & commissioning

Installed and commissioned the electrical, mechanical, and IT infrastructure: racks, fabric, power chain, cooling, suppression, and structured cabling.

Cluster bring-up

Provisioned the cluster, unified every GPU into one fabric, mounted shared storage, and stood up scheduling and monitoring.

Live & monitored

Deployed the custom model we built, exposed it as a secure private API, and put a fully observable, production-ready platform into live operation.

Ready to own your AI?

Private datacenters, custom models, secure infrastructure, we engineer the whole stack to the same standard. Get a free consultation and project proposal within 2-3 business days.

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This engagement is described under confidentiality. The client is not identified here, and no proprietary configuration, security detail, or model information is disclosed; hardware is referenced only at a general, industry-standard level. Further detail may be reviewed privately with qualified parties. Dude Lemon worked as an independent contractor.

A private AI datacenter, and the model that runs on it, delivered end to end

Their walls. Their data. A model we build and run.