Skip to main content
IT KORR
IT KORRKeeping Organizations Reliable & Resilient
GPU & AI Server Colocation

GPU & AI Server Colocation

Your GPU server. Our data center. IT KORR manages the infrastructure. You already own — or are purchasing — the GPU server. IT KORR provides the professional data-center environment to house it, including power, cooling, network connectivity, physical security, and infrastructure management.

GPU & AI Server Colocation

What IT KORR Provides

Data-center space, power, and cooling evaluated per deployment

Network connectivity provisioned to your requirements

Physical security and controlled access

Infrastructure monitoring, management, and remote hands

~10 kW

Initial Deployment Capacity

NJ / NY

Northeast Data Center

Customer-Owned

Hardware Model

This Is Not GPU Rental

You own the physical GPU server. IT KORR provides the facility and manages the infrastructure around it. We do not rent GPUs by the hour, sell shared GPU compute, or provide a GPU cloud.

Why Not the Office?

High-Power GPU Systems Ask a Lot of an Office Environment

High-power GPU systems can place demands on electrical and cooling infrastructure that many office environments were never designed to accommodate — capacity, heat, noise, physical space, physical security, network reliability, remote access, and the ongoing infrastructure management the hardware needs once it's running.

How It Works, Conceptually

Where Your Responsibility Ends and Ours Begins

Everything left of the boundary line is yours — the hardware, the accelerators, the AI/ML software stack. Everything right of it is a real, ordered chain IT KORR operates: your server is racked, powered on redundant feeds, cooled, networked, secured, and monitored, every day it runs.

GPU and AI Server Colocation — Ownership Boundary and Physical Chain

You Own & Operate

Purchased and owned by you. It does not become IT KORR property by being racked here.

  • GPU / AI Server Hardware

    The physical machine you bought.

  • Your AI / ML Software Stack

    Models, frameworks and workloads stay yours.

IT KORR Provides & Manages

The physical and operational chain, in the order your hardware passes through it.

  1. Rack Placement

    Racked and cabled on arrival

  2. Power

    A/B redundant utility feeds

  3. Cooling

    Engineered for server load

  4. Network

    Provisioned to your deployment

  5. Facility Security

    Access-controlled, monitored

  6. Ops & Support

    Monitoring, remote hands

Continuous Monitoring & Remote Hands

Every layer, every day — not a one-time install.

Conceptual architecture. You purchase and own the GPU/AI server and retain your AI/ML software stack. Once it arrives, IT KORR racks it and operates every physical layer around it — power, cooling, network, facility security, and ongoing monitoring and remote hands. This is not hourly GPU rental, shared GPU cloud capacity, or resold compute.

What IT KORR Provides

Infrastructure Around Your Hardware

Two layers, working together: the physical facility your server lives in, and the ongoing operations that keep it running.

Facility Environment

Data-Center Location

A professional facility environment for customer-owned GPU and AI infrastructure.

Power

High-density power capacity evaluated against the specific deployment — not a fixed rate applied to every rack.

Cooling

Data-center cooling appropriate to supported air-cooled deployments.

Network Connectivity

Internet and network connectivity provisioned to the deployment's actual requirements.

Infrastructure Operations

Physical Security

Customer equipment housed in a professional, access-controlled data-center environment.

Remote Hands

Facility personnel can receive, rack, and cable customer equipment, and provide defined remote-hands assistance.

Infrastructure Management

IT KORR manages the infrastructure surrounding the customer's GPU server — not the AI software running on it.

Monitoring & Security

Infrastructure monitoring and applicable network/security services around the deployment.

How It Works

From Your Hardware to a Managed Deployment

01

You Own the Hardware

The customer purchases the GPU/AI server. IT KORR does not sell or rent GPU hardware or compute.

02

We Prepare the Environment

IT KORR evaluates power, cooling, space, network, and deployment requirements against the specific server.

03

Ship the Server

Customer equipment can be shipped directly to the facility through its established receiving process.

04

Rack & Connect

Facility personnel receive, rack, and cable the equipment.

05

IT KORR Manages the Infrastructure

Monitoring, network, security, and infrastructure management going forward — the customer's AI/ML team retains responsibility for the software stack.

Supported Deployments

Deployment Suitability Depends on Your Hardware

  • GPU inference servers
  • AI servers
  • Machine-learning infrastructure
  • High-performance compute systems
  • Customer-owned GPU servers
  • Private AI infrastructure

Air-cooled systems can be evaluated for deployment within the standard colocation environment. Liquid-cooled systems require a different facility configuration and must be evaluated separately.

Power & Cooling

Capacity Depends on the Deployment

  • Initial deployments can support approximately 10 kW, depending on configuration.
  • Additional capacity may be available depending on rack and module placement.
  • A separate high-density deployment in a dedicated half-module can potentially support approximately 20 kW.
  • Actual available capacity depends on facility location and your specific deployment requirements.
  • Cooling requirements depend on the hardware — dedicated space provides better cooling isolation and keeps a high-draw deployment from affecting neighboring installations.
  • Liquid-cooled systems are not supported in the standard colocation module and require a dedicated half-module configuration.

Contact IT KORR to confirm facility capacity for your specific GPU server.

Network & Remote Deployment

You Don't Have to Deliver the Server Yourself

  • Equipment can be shipped directly to the facility.
  • Facility staff can receive the shipment.
  • Facility staff can rack and cable the equipment.
  • Network connectivity is provisioned according to your deployment's requirements — a 1 Gb connection on a 10G port may be appropriate for a 10 kW deployment, subject to final engineering.

The Differentiator

IT KORR Managed Infrastructure

This is what separates the service from commodity colocation: IT KORR can manage the infrastructure surrounding your AI/GPU server, not just provide the rack it sits in.

IT KORR Manages

  • Network
  • Firewall
  • VPN / private connectivity
  • Monitoring
  • Server/OS management, where applicable
  • Security controls
  • Backup, where appropriate
  • Infrastructure troubleshooting
  • Remote-hands coordination

Your Team Manages

  • AI applications and models
  • CUDA, PyTorch, TensorFlow
  • MLOps and model development
  • AI application support

Scope of Service

We Host Your Hardware — We Don't Rent the GPUs

IT KORR does not:

  • Rent GPUs by the hour
  • Sell GPU compute
  • Provide shared GPU cloud capacity
  • Sell GPU servers
  • Develop AI models
  • Provide CUDA / PyTorch / TensorFlow application support
  • Provide MLOps services

Your GPU hardware and AI software remain yours.

Who This Is For

Likely Fits

First Dedicated AI/GPU Server

Organizations purchasing their first dedicated AI/GPU server and evaluating where to run it.

Outgrown the Office

Companies that have outgrown their office server environment's power, cooling, or physical space.

Private AI Infrastructure

Organizations that require dedicated, private infrastructure rather than shared or rented GPU compute.

Sensitive Workloads

Companies with sensitive workloads that prefer dedicated infrastructure over shared environments.

Engineering & Scientific Workloads

Engineering, research, and life-sciences organizations running compute- or data-sensitive workloads.

Existing IT Provider Coordination

Businesses that want their existing IT provider to manage the infrastructure surrounding a GPU deployment.

Why IT KORR

More Than Rack Space

The advantage isn't simply a place to put the hardware — it's getting a data-center environment without having to manage the surrounding infrastructure yourself. That infrastructure connects to the same operating model behind IT KORR's Managed IT, Infrastructure, Networking, Security, Backup & DR, and Monitoring services.

Common Operational Challenges

What This Solves

  • Office electrical service isn't built for high-power AI hardware

    Data-center power evaluated against your deployment

  • No secure, dedicated physical space for expensive hardware

    Controlled-access rack space in a professional facility

  • No one on-site if the server needs hands-on attention

    Facility remote hands, including receiving and racking equipment

  • Unsure whether a high-density deployment is even possible

    Deployment requirements reviewed against actual facility capacity

FAQ

Common Questions

Do I need to own the GPU server?

Yes. This service is for customer-owned hardware — you purchase and own the physical GPU server. IT KORR provides the data-center environment and manages the infrastructure around it.

Does IT KORR rent GPUs?

No. IT KORR does not provide hourly GPU rental, GPU compute, or shared GPU cloud capacity. If you're looking to rent GPU compute, that's a different kind of provider than IT KORR.

Can I ship my GPU server directly to the data center?

Yes. The facility has an established receiving process and can rack and cable customer equipment on arrival.

How much power can a GPU server use?

Deployments can support approximately 10 kW initially, with higher-density configurations potentially available depending on rack/module placement and facility configuration — capacity depends on the deployment. Actual available capacity must be evaluated for the specific hardware.

Can you host liquid-cooled GPU servers?

Liquid-cooled systems are not supported in the standard colocation module and require dedicated space in a half-module configuration. Contact IT KORR to evaluate a liquid-cooled deployment.

Do you manage the GPU software?

No. IT KORR manages the infrastructure — power, cooling, network, physical environment, and applicable OS/security services. AI software, models, and frameworks (CUDA, PyTorch, TensorFlow, MLOps) remain the customer's responsibility.

Can IT KORR manage the server itself?

Where appropriate, IT KORR can provide operating-system and infrastructure management as part of the overall engagement, scoped to the deployment.

Do you publish pricing?

No. Pricing depends on the hardware, power draw, network, space, and management requirements — IT KORR evaluates each deployment individually.

The Continuity Line — a live record of IT KORR's operational and compliance activity. 5 recent events available below.

Let's talk.

Tell us about your environment. We'll respond within one business day.

Prefer to talk now? (848) 200-9669

What brings you here today?

Approximately how many employees? (optional)

What are you looking for?

What's your timeframe?

No commitment required. Your information is confidential and used solely to prepare your engagement.