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.
What IT KORR Provides
Infrastructure Around Your Hardware
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.
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
Relevant Services
Colocation →
General-purpose facility colocation for hardware you already own.
Managed IT Services →
Centralized IT operations for the rest of your environment, alongside a colocated GPU server.
Infrastructure & Virtual Server Hosting →
Managed hosted infrastructure for organizations that don't need dedicated GPU hardware.
Security Assessment Services →
Structured assessment of the network and security controls around your infrastructure.
Backup & Disaster Recovery →
Backup coverage and recovery testing for workloads running on your colocated server.
Free Tools & Guidance
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