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Plug-and-Play AI Data Centres
Not every organization requires a hyperscale facility. Many companies need dedicated, high-performance infrastructure at the 1 MW scale to power artificial intelligence workloads, cloud platforms, and enterprise applications.
IABB offers plug-and-play 1 MW data center solutions designed for companies that want to deploy secure computing infrastructure in Asia without investing hundreds of millions of dollars in hyperscale facilities.
Our turnkey approach allows global companies to deploy GPU-ready data centers quickly, efficiently, and with predictable investment costs.
Overview:
- Dedicated AI Infrastructure: 1 MW facilities provide secure, high-performance infrastructure for AI workloads, enterprise platforms, and cloud services.
- Plug-and-Play Deployment: These solutions are designed for faster deployment without the complexity and capital requirements of hyperscale facilities.
- Cost Predictability: Companies can launch computing infrastructure with more manageable and predictable investment costs.
- Asia-Focused Expansion: Ideal for global organizations looking to establish AI-ready infrastructure in high-growth Asian markets.
Typical Use Cases:
- AI Model Training: Supports high-performance environments required for machine learning and large-scale model training.
- Generative AI Platforms: Suitable for organizations building and scaling generative AI products and services.
- Enterprise Cloud Infrastructure: Enables companies to deploy secure regional cloud environments for enterprise operations.
- Regional SaaS Platforms: Supports software platforms requiring dedicated infrastructure with strong uptime and compute resources.
- Fintech & Analytics: Ideal for financial services, analytics workloads, and performance-heavy transaction environments.
- Disaster Recovery: Can also serve as a reliable disaster recovery and business continuity infrastructure layer.
Typical Capacity of a 1 MW AI Data Centre:
- Power Capacity: 1 MW
- Rack Capacity: 40–80 racks
- GPU Servers: 200–400 servers
- Compute Capability: Multi-petaflop AI processing
- Storage Capacity: 5–20 PB
- Enterprise Compute Platforms: Capable of supporting modern GPU infrastructure powered by NVIDIA and other enterprise compute technologies.
Investment & Renewable Energy:
- Infrastructure Construction: Estimated at $3M – $5M
- Power & Cooling Systems: Estimated at $2M – $3M
- Servers & GPU Clusters: Estimated at $4M – $8M
- Networking & Storage: Estimated at $1M – $2M
- Total Investment Range: Approximately $10M – $18M
- Renewable Integration: Includes solar power infrastructure, hybrid grid systems, battery energy storage, and long-term renewable energy agreements.
- Sustainability Advantage: Helps reduce operating costs while improving long-term environmental performance.
The AI Infrastructure Pyramid:
- Layer 1 – Data Center Facilities: Secure, purpose-built environments with connectivity, physical security, and scalable infrastructure.
- Layer 2 – Power & Cooling Infrastructure: Includes power distribution, redundant electrical systems, advanced cooling, and renewable energy integration.
- Layer 3 – Hardware & Network Infrastructure: Enterprise servers, storage systems, networking infrastructure, and rack-scale environments.
- Layer 4 – AI Compute & GPU Clusters: Specialized GPU clusters, AI accelerators, and distributed computing platforms for high-performance AI processing.
- Layer 5 – Cloud Platforms & Digital Services: Cloud platforms, SaaS systems, AI development environments, and data platforms.
- Layer 6 – AI Applications: Generative AI, financial analytics, healthcare AI, enterprise automation, and autonomous systems.
Deployment Timeline & Strategic Locations:
- Feasibility & Infrastructure Planning: 4–6 weeks
- Site Acquisition & Approvals: 3–4 months
- Construction: 10–14 months
- Infrastructure Deployment: 2–4 months
- Total Deployment Timeline: 12–18 months
- India Locations: Hyderabad, Vizag, Mumbai, Chennai, and Bengaluru
- Malaysia Locations: Johor, Cyberjaya, and Kuala Lumpur
Who Should Build a 1 MW Data Centre?
- AI Startups: Companies expanding globally and requiring dedicated compute infrastructure.
- SaaS Companies: Businesses deploying regional infrastructure to improve performance and control.
- Fintech Platforms: Organizations needing secure, scalable, high-availability digital infrastructure.
- Telecom Operators: Operators extending digital capacity and enterprise-grade services.
- Cloud Service Providers: Providers looking for efficient regional deployments without hyperscale investment.
- Enterprise Technology Companies: Firms building stable infrastructure foundations for AI innovation and digital services.
Contact IABB: Speak with our infrastructure team to begin planning your 1 MW plug-and-play AI data centre deployment.
