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Small, distributed Edge AI-Inference Facilities

To support real-time AI processing and decision-making for applications like autonomous vehicles, smart cities, and IoT devices, we offer smaller, energy-efficient facilities located closer to the edge (or where the date is generated).
Edge data centers are small-scale, decentralized data centers that are located closer to end users or devices. Edge data centers are designed to provide faster processing, lower latency, and better network efficiency by being physically closer to where data is generated or consumed.
Proximity to End Users
Located closer to end users ordevices to reduce latency and improveperformance.
Smaller Footprint
Edge data centers are typically smaller than traditional data centers, which allows them to be placed in more diverse locations (e.g., within cities, on telecom towers, or near IoT devices).
Decentralised
Rather than relying on a central hub, edge data centers distribute resources across various regions, improving redundancy and availability.

Deployment Models

Build-to-Suit

Tailored from the ground up.

We design and construct AI-grade data centres to meet your exact requirements: from land selection and permitting to power configuration, cooling architecture, and security. Our build-to-suit model gives hyperscalers and AI clients full flexibility in infrastructure design while leveraging Vena Nexus’s integrated development and energy capabilities.

Delivery Options:

Core & Shell: Base building with utility access; client fits out interior infrastructure.

Powered Shell: MEP systems installed; client deploys racks and IT systems.

Turnkey: Fully integrated, rack-ready facility delivered by Vena Nexus.

Ideal for:

  • Hyperscaler anchor tenants
  • Large-scale AI model training environments
  • Long-term deployments in strategic markets
Template Deployments

Fast-track delivery with pre-engineered models.

Our platforms are pre-designed, modular data centre products optimised for rapid deployment. These standardised templates reduce design time and allow you to scale capacity across multiple markets with consistent quality, density, and cooling performance.

Ideal for:

  • Clients seeking rapid time-to-market
  • Multi-country rollouts
  • GPU-optimised standardisation
  • Long-term deployments in strategic markets
V-Prime: Corporate Solutions

Modular, enterprise-grade AI infrastructure.

V-Prime is a standardised solution for corporate clients needing secure, scalable, and sustainable infrastructure for AI inference, hybrid cloud, data processing, or storage. It can be deployed as a dedicated suite in V-Arc campuses or V-Axis facilities, or as a compact standalone facility near enterprise hubs.

Ideal for:

  • Internal LLM and AI inference workloads
  • High-availability backup and disaster recovery
  • Hybrid cloud / on-prem extensions
  • Smart city or smart factory infrastructure
Joint Venture / Strategic Partnership

Long-term collaboration opportunities.

Vena Nexus can offer co-investment or JV structures for select anchor clients or strategic partners. This model provides alignment on project delivery, governance, and capital allocation.

Ideal for:

  • Hyperscalers with regional growth mandates
  • Institutional or infra investors seeking operating exposure
  • Strategic anchor tenants
Anchor + Expansion

Start focused. Scale fast.

Launch an initial deployment (e.g. 10–30 MW) with secured land and power for phased expansion. This flexible model allows tenants to secure high-demand sites while deferring future capex until needed.

Ideal for:

  • Clients with phased AI capacity growth plans
  • Markets with grid or permitting constraints

All Deployment Models Benefit From:

Co-powered energy integration with Vena Energy

Edge data centers can manage the operations of smart building systems, such as security, lighting, heating, and cooling. Local processing allows for more efficient energy use, better security (via local surveillance cameras), and optimised building management without reliance on distant cloud servers.

Access to secured land and grid infrastructure

Edge data centers can run machine learning models locally, allowing businesses to derive insights and make decisions immediately without having to send data to a distant data center. For example, in security applications, edge data centers can process video footage to detect unusual activity without latency.

Vena Nexus’s in-house development, EPC, and O&M teams

As 5G networks become more widespread, edge data centers are crucial for reducing the latency involved in processing data from billions of connected devices. These local processing centers handle the massive amounts of data generated by 5G users in real-time, supporting services like augmented reality (AR), virtual reality (VR), and ultra-high-definition video calls.

Explore how each deployment model can support your AI growth strategy

Contact Us

Vena Nexus

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

Our Solutions

Delivering next-generation AI data centres, purpose-built for high-density compute and co-powered by renewable energy across Asia-Pacific.

Our Asset Portfolio

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

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