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Case Study
Building a high-performance, resilient and future-ready data-center foundation for enterprise applications and emerging AI/ML workloads.
Client Overview
The organisation was operating a traditional data-center environment supporting business-critical applications, virtualisation and growing data workloads. With increasing compute requirements and emerging AI/ML initiatives, the organisation needed a modern infrastructure capable of delivering higher performance, resilience and operational efficiency.
Industry
Enterprise Data Center
Core Business
Business-critical applications, virtualisation and AI/ML workloads
Environment
24×7 Operations | 2,500+ Users
The Challenge
The organisation’s existing data-center environment needed to support increasing compute requirements, growing data volumes and emerging AI/ML workloads. The objective was not simply to refresh existing infrastructure, but to establish a future-ready foundation capable of scaling with evolving business and technology requirements.
Key Issues Identified
Our Solution
Cloudone designed and modernized the data-center environment with a focus on performance, resilience, automation and future scalability. The solution combined modern compute, GPU-enabled infrastructure, scalable storage, resilient networking, centralized management, intelligent monitoring and automation to create an AI-ready foundation for evolving workloads.
Key Technologies
Implementation
A structured modernization approach focused on improving infrastructure performance, resilience, automation and scalability.
Enterprise-grade compute infrastructure
Accelerated AI/ML computing
Scalable data infrastructure
Resilient infrastructure design
Simplified infrastructure operations
Proactive infrastructure visibility
The Results
The modernization established a high-performance, resilient and future-ready data-center platform, while simplifying infrastructure operations through automation and centralized management.
40+
Compute nodes — modernised compute capacity
8+
GPU servers for AI/ML & accelerated workloads
300+ TB
Enterprise storage — scalable data infrastructure
40+
Network devices for high-speed, resilient connectivity
99.9%
Availability target — improved infrastructure resilience
AI-Ready
Infrastructure prepared for emerging workloads
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