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Large AI-Training Facilities

To meet the energy needs of extensive AI research and development processes, we offer large-scale infrastructure to power AI training models.
AI training facilities are specialized environments with high-performance infrastructure—like GPUs and TPUs—designed to train, test, and deploy large-scale AI models. They deliver the power, scalability, and control needed for complex workloads across fields such as deep learning and natural language processing.

Our Solutions

V-Arc

Built for Speed, Powered for Scale

V-Arc is our prefabricated, containerised data centre solution, engineered for rapid deployment and hyperscale scalability. It features all-in-one modular units with optimized power and cooling configurations, enabling dense AI, HPC, edge, and content delivery workloads. Unlike traditional data centers with long construction cycles, V-Arc’s prefabricated design enables deployment from as early as nine months. With resilient power and cooling systems, integrated monitoring, and low PUE performance, V-Arc ensures energy-efficient, high-availability infrastructure for today’s most demanding compute applications.

Key Features

  • Hyperscale prefabricated modules scalable beyond 20MW
  • AI- and HPC-ready high-density architecture
  • Modular expansion for phased growth
  • Accelerated construction and RFS timeline
  • Secured environment with integrated monitoring and control
  • 24/7 operations with SLA guarantees
V-Axis

Engineered for high density, scalable compute

V-Axis is a hybrid deployment solution that combines the structural robustness of conventional core builds with the speed and flexibility of pre-engineered modules. Designed for GPU-intensive workloads and AI innovation, V-Axis supports high power density, operational resilience, and seamless renewable integration. It enables faster delivery timelines by reducing build time by up to 15% through factory-tested, skid-mounted modules assembled in controlled environments.

With flexible options for concrete or steel structures, V-Axis modules are fully designed, tested, and commissioned offsite to minimize on-site complexity. This offsite-led approach improves cost-efficiency, accelerates deployment, and enables sustainable, AI-optimized performance at scale.

Key Features

  • Pre-built concrete or steel core structure
  • Scalable for staged capital deployment
  • Hyperscale modules from 10MW onwards
  • High-density AI and HPC-ready design
  • MEP systems in skid or pod format, with flexible redundancy
  • Liquid cooling-ready (direct-to-chip and immersion)
  • Secured facility with integrated monitoring and control
  • 24×7 operations with SLA guarantees
V-Prime

Next-Gen DC Infrastructure, Built Your Way

In Asia’s most dynamic urban centres, V-Prime delivers custom-built data centre infrastructure optimized for complex regulatory environments, limited land availability, and escalating carbon costs. Engineered to the highest standards, V-Prime is designed for ultra-dense AI workloads and tailored to meet the demands of urban-scale deployment, with low PUE and state-of-the-art resilience.

V-Prime delivers bespoke architecture, client-branded design, and integrated sustainability, enabling complete control over layout, power density, and operational profile. Choose V-Prime for a data center solution that is not just built, but precisely engineered for your vision.

Key Features

  • Bespoke deployments over 10MW
  • High-density AI- and HPC-ready design
  • Liquid cooling–ready (direct-to-chip and immersion compatible)
  • Integrated monitoring and control systems
  • 24×7 operations with SLA guarantees
World-Class Reliability and Redundancy
Redundant power and cooling systems to ensure high availability and minimise downtime, crucial for running time-sensitive AI model training. SLA-backed uptime guarantees (99.999% availability), giving you peace of mind that your workloads are always operational.
Localised & Global Reach
Data centers located strategically in major cities and regions, offering both local presence and global connectivity. With facilities across multiple regions, we help organisations meet geographic data residency requirements while enhancing global reach for AI deployment.

Industry uses of Large AI-Training Facilities

Healthcare

AI training facilities help train models for medical imaging, diagnostics, and drug discovery. Models are trained to detect diseases like cancer from X-rays, MRIs, or CT scans. 

Natural Language Processing (NLP)

AI models like chatbots, translators, and virtual assistants are trained in AI facilities to understand and generate human language. 

Financial Services

AI models in financial institutions are trained to predict market trends, detect fraud, and automate customer service. 

Autonomous Vehicles

Training AI models for self-driving cars involves simulating real-world environments using vast amounts of driving data to improve navigation, safety, and decision-making. 

Vena Nexus

Advancing integrated AI compute and power solutions that support the transition to a sustainable, AI-driven economy.

Deployment Models

Explore how each deployment model can support your AI growth strategy.

Our Asset Portfolio

Discover our diversified portfolio across the Asia-Pacific region.​

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