Cloud

5C Cloud offers purpose-built Al infrastructure solutions designed to support the largest and most demanding Al workloads.
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2 GW | 800 MW | North America, Europe, Asia, and other global regions

Purpose-Built Al Infrastructure

2+ GW

of combined power capacity

800 MW

available in 2025-2026 for large and extra-large Al deployments

12

data centers from 5C-owned and colocation partner facilities

North America

Europe

Asia

Middle East

Empower Your Al Workloads

High-Performance Dedicated Hardware

Access best-in-class technologies—NVIDIA Blackwell, AMD Instinct™, and Intel Gaudi®— to deliver exceptional performance, scalability, and cost efficiency for your most demanding AI training, fine-tuning, and inference workloads.

Networking Architecture Options

Custom-engineered AI network infrastructure built for speed, scalability, and efficiency. Our solutions ensure seamless data flow, low-latency processing, and optimized connectivity across distributed compute environments using Ethernet or InfiniBand.

High-Performance, Object, and Block Storage

Designed for data-intensive AI, ML, and HPC workloads, our AI-ready storage architecture delivers ultra-fast processing and cost-effective scalability. We provide high-performance storage solutions through leading industry partners and S3-compatible object storage.

Flexible Delivery Models

Customer Owned Inventory
(CI-Metal-aaS)

Customers provide their own dedicated compute infrastructure and 5C manages the rest (network and storage).

Bare Metal (Metal-aaS)

Fully dedicated servers and networking environment with full access to physical hardware, delivering maximum performance, security, and customization for demanding AI workloads.

Industries

AI Frontier Labs

Large-scale AI acceleration clouds that allow companies, developers, and enterprises to run the full generative AI lifecycle from training to inferencing.

AI-Native Companies

Large language model (LLM) developers needing robust AI infrastructure to handle the massive computation demands to deploy, train, fine-tune, and scale large language models.

Enterprise

Large-scale enterprises looking to automate operations, enhance efficiency, reduce costs, drive innovation, scale faster, and unlock new revenue opportunities.