AI Infrastructure Solutions

Scale Your Enterprise Machine Learning Lifecycle

AI Infrastructure Solutions

✦ Core Architecture

Components

Building or procuring an enterprise AI infrastructure stack requires meticulous navigation across technical, financial, and operational layers:

✦ Flexible Consumption

Models

AI Cloud & Specialized IaaS

Access on-demand, non-virtualized bare-metal GPU clusters and specialized AI cloud resources to eliminate massive upfront capital expenditures (CapEx).

On-Premises & Hybrid AI Factories

Tailored for enterprises operating under strict data sovereignty and localized compliance frameworks (such as Singapore’s PDPA, Malaysia’s PDPA, Thailand’s PDPA, and Indonesia’s PDP Law).

Managed Platforms

Pre-configured environments that abstract complex underlying hardware layer logistics, empowering engineering teams to focus exclusively on model tuning, deployment, and rapid innovation.

✦ STRATEGIC PAN-ASEAN EDGE & CORE CLUSTERS

PAN-ASEAN AI DATA CENTER FOOTPRINT

To maximize the efficiency of your distributed training and real-time inference, our infrastructure is strategically anchored across premier, high-density data centers in Singapore, Malaysia, Thailand, and Indonesia:

🇸🇬

Singapore
(Core Hub)

Low-latency sovereign cloud gateway. Acts as the primary orchestrator for regional LLM inference pipelines, connected via ultra-high-speed subsea cables.

🇲🇾

Malaysia
(Johor/KL Clusters)

High-density, liquid-cooled “AI Factories.” Positioned to leverage scalable power infrastructure, perfect for cost-effective LLM
pre-training and heavy checkpoint storage.

🇮🇩

Indonesia
(Jakarta Edge)

High-throughput, on-shore nodes designed for Indonesia’s massive digital consumer market, guaranteeing data residency under the PDP Law.

🇹🇭

Thailand
(Bangkok Edge)

Localized data ingestion and localized real-time inference. Ensures strict compliance with Thailand’s PDPA while minimizing latency for enterprise banking and retail AI applications.

✦ Technical Specifications

Optimizing for NVIDIA Blackwell B200

The NVIDIA Blackwell B200 GPU delivers up to 20 petaflops of FP4 AI performance. However, architecting a cluster of this caliber demands sophisticated power delivery, liquid cooling, and networking fabrics to unlock maximum hardware utilization.

Infrastructure Layer

Operational Requirement

Technical Specification

Cooling Systems
High-density thermal dissipation
Direct-to-chip liquid cooling or advanced hybrid loops
to sustain 1,200W per GPU.
Power Density
High-density power distribution
Scalable PDUs capable of supporting 120kW+ per rack
(e.g., GB200 NVL72).
Networking Fabric
High-speed, non-blocking interconnects
800Gbps networking leveraging NVIDIA Quantum-X800 InfiniBand or Spectrum-X800 Ethernet.
Storage Throughput
Ultra-low latency data pipelines
NVMe storage arrays with native GPUDirect Storage (GDS)
support to maximize GPU feed rates.

✦ Recommended Partner

Ecosystem & Deployment Pathways

Cloud & Hosted
Clusters:

Leverage specialized, AI-native cloud hyperscalers (e.g., Nebius, CoreWeave, Lambda Labs) featuring turnkey data center architectures optimized specifically for Blackwell’s power and liquid cooling envelopes.

On-Premises &
Private Cloud

Deploy certified NVIDIA DGX SuperPOD architectures via elite hardware partners like Supermicro, Dell Technologies, or Hewlett Packard Enterprise (HPE) for fully integrated, liquid-cooled turnkey rack deployments.

Data Management & Pipelines

Maximize training efficiency and pipeline throughput utilizing enterprise-grade storage suites from NetApp or WEKA, custom-engineered for NVIDIA Blackwell workloads.

Contact Us

Get in touch

Ready to accelerate your AI journey? 

Reach out to our team for a customised deployment proposal.

Have a Question? Contact us!

General Enquiries

inquiries@trustnetventures.asia

Customer Service

cs@trustnetventures.asia

Sales & Partnerships

sales@trustnetventures.asia

Address

374B East Coast Road, Singapore 428983