---
title: "GPU Colocation: Bring Your Own Hardware to Our Data Center"
url: "https://bitrefinery.com/blog/gpu-colocation-byogpu"
description: "Learn how our BYOGPU program lets you deploy your own GPU hardware in our enterprise-grade data centers with full power and cooling support."
author: "BitRefinery Team"
date: "2024-12-23"
lastmod: "2026-01-30"
tags: ["GPU", "colocation", "BYOGPU", "AI", "machine learning"]
source: "blog CMS"
---

# GPU Colocation: Bring Your Own Hardware to Our Data Center

# GPU Colocation: Bring Your Own Hardware

The demand for GPU computing has exploded with the rise of AI, machine learning, and high-performance computing workloads. Our BYOGPU (Bring Your Own GPU) program offers a unique solution for organizations with existing hardware investments.

## What is BYOGPU?

BYOGPU allows you to deploy your own GPU servers in our enterprise-grade data centers. We provide:

- **Power infrastructure** - Reliable, redundant power up to 40kW per rack
- **Cooling systems** - Advanced cooling supporting high-density GPU deployments
- **Network connectivity** - Low-latency connections with multiple carriers
- **Physical security** - 24/7 monitoring and biometric access controls

## Why Choose Colocation?

### Cost Efficiency

If you already own GPU hardware, colocation eliminates the need for:

- Building your own data center
- Managing power and cooling infrastructure
- Hiring facilities staff
- Dealing with internet provider negotiations

### Enterprise-Grade Facilities

Our data centers provide:

- **99.99% uptime SLA** backed by redundant systems
- **Carrier-neutral connectivity** with multiple upstream providers
- **Compliance certifications** including SOC 2 and ISO 27001
- **Environmental controls** maintaining optimal operating conditions

### Flexibility

Unlike cloud GPU rentals, colocation gives you:

- No per-hour or per-GPU fees
- Ability to use any GPU model (NVIDIA, AMD, Intel)
- Custom server configurations
- Direct hardware access for maintenance

## Ideal Use Cases

BYOGPU colocation works best for:

- **AI/ML training** with consistent, long-running workloads
- **Rendering farms** for VFX and animation studios
- **Research institutions** with grant-funded hardware
- **Crypto operations** requiring stable power costs

## Getting Started

Our team will work with you to:

1. Assess your power and space requirements
2. Plan network connectivity and IP allocation
3. Coordinate hardware shipping and installation
4. Configure remote management access

[Contact us](/byogpu) to learn more about our BYOGPU program.