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Sovereign AI infrastructure & governed enterprise compute

Governed compute, from silicon to token.

Luminen Labs delivers dedicated NVIDIA Blackwell GPU clusters as a fully managed, five-layer stack — with sovereignty, security and compliance built into every layer, from the facility floor to the API.

Discuss your compute needs Explore the stack
  • HardwareNVIDIA GB300 NVL72 & B300
  • ModelOn-demand or reserved capacity
  • BaseSingapore

01About Us

Premier governed compute provider.

Luminen Labs provides sovereign AI infrastructure and governed enterprise compute. We build, operate and govern high-density NVIDIA Blackwell clusters, and deliver them as managed capacity and APIs — so enterprises, AI developers and research teams can focus on their models.

01GPU compute capacity
Ready-for-service high-density GB300 & B300 clusters.
02Deployment velocity
From contract execution to liquid-cooled live production.
03Time to market
Pre-configured NCP-aligned infrastructure layers.
04Sovereign compliance
Built-in multi-jurisdictional AI governance & security.

Figures as stated in Luminen Labs’ company credentials.

02Our Stack

The Luminen 5-layer stack

One integrated stack, from silicon to token. Each layer is engineered, operated and governed by Luminen Labs, so customers consume AI compute as a service, not as a project.

  1. Layer 01

    Facility

    The physical foundation: resilient facilities, a secured network fabric, storage at scale and dedicated power circuits.

    • Tier III/IV facilities
    • MACsec & BGP fabric
    • 1–10 PiB+ storage
    • CDDU circuits

  2. Layer 02

    Hardware

    Rack-scale NVIDIA Blackwell systems, with tenant isolation and cryptographic erasure designed in at the hardware level.

    • NVIDIA GB300 NVL72 / B300
    • NVLink fabric segregation
    • TPM 2.0 cryptographic erasure

  3. Layer 03

    OS & Control

    Cluster management, Kubernetes-as-a-service and sandboxed environments, observable end to end.

    • NVIDIA Base Command
    • CNCF KaaS (DRA)
    • vCluster sandboxing
    • OpenTelemetry

  4. Layer 04

    Software Stack

    Optimised inference runtimes and policy enforcement, served through API clusters that are ready without cold starts.

    • TensorRT-LLM & NVIDIA NIM
    • Policy-as-code enforcer
    • Zero cold-start API clusters

  5. Layer 05

    Cognitive Layers

    Where compute becomes intelligence: fine-tuning, monitoring and enterprise inference, with data protection built in.

    • Multi-node fine-tuning
    • Live drift tracking
    • PII storage filters
    • Enterprise inference

03Our Services

Four core service lines. Full-stack coverage.

01

GPU Cloud & AI Compute

  • Governed dedicated compute clusters (on-demand/reserved).
  • High-density GB300 & B300 Blackwell infrastructure.
  • Sub-10ms intra-region network latency.
02

AI Factory & Token Engine

  • End-to-end LLM pre-training & fine-tuning stacks.
  • NVIDIA NIM inference with production SLAs.
  • Pay-per-token billing with zero cold-start API readiness.
03

AI Governance Services

  • Physical & logical sovereignty enclaves.
  • Hardware-encrypted TEE enclaves & Remote Attestation.
  • Embedded compliance, KYC, and export control workflows.
04

Managed Advisory Services

  • 24/7 NOC operations, firmware patching, and cluster tuning.
  • White-glove architecture design & network commissioning.
  • Full hardware lifecycle ownership from Day 1.

04Governed Reliability

Governed reliability.
Zero-downtime operations.

  1. 01

    Proactive health

    Predictive infrastructure monitoring

    Full-stack observability from power feeds down to GPU kernels. Machine learning predictive analytics for early fault mitigation.

  2. 02

    Rapid response

    Minimized MTTR SLAs

    < 5 min response time with 24/7 expert engineers. < 30 min MTTR for hyperscale cluster incidents with rigorous post-mortems.

  3. 03

    Lifecycle resilience

    Asset & spare buffer management

    On-site inventory of mission-critical spare parts maintained continuously. Rapid replacement policies guarantee high uptime.

  4. 04

    Continuous tuning

    Security & firmware hardening

    Automated zero-downtime OS patching, security vulnerability scans, and continuous BIOS/kernel optimizations.

05Global Expansion

Global expansion,
sovereign architecture.

Each regional node is designed to stand on its own — legally, operationally and in where customer data lives.

Aerial view of a modern multi-storey building complex with a landscaped forecourt, set against a forested hill.
Image supplied by Luminen Labs

Active nodes & expansion pipeline

Hub AActive node

Flagship Blackwell cluster

GB300 NVL72 high-density fabric

Hub BActive node

High-density pods

HGX B300 enterprise clusters

  1. Deploying markets

    • Japan
    • France
    • Brazil

  2. Expansion pipeline 2026–2027

    • Australia
    • United States
    • Korea

Multi-jurisdictional sovereignty

  • 01

    Local legal entities

    All regional nodes are legally registered within their operating jurisdiction.

  • 02

    Regulatory isolation

    Fully decoupled architecture immune to centralized cross-border vulnerabilities.

  • 03

    Strict compliance

    Built for complete alignment with PDPA, MAS, GDPR, and sovereign AI mandates.

  • 04

    Data residency guarantees

    Customer model weights and data never leave local hardware enclaves.

06Enterprise Value

Quantifiable ROI.

44–47%

TCO reduction vs. hyperscale GPU clouds

Achieved via direct liquid-cooling efficiency and optimized power utilization.

15–20%

Training throughput gain

Single-tenant bare-metal architecture eliminating virtualization overhead.

Figures as stated in Luminen Labs’ company credentials. Bars are indexed to the comparison baseline (= 100) and derived from those figures.

Representative enterprise use cases

  1. AAI Unicorn

    LLM Pre-Training

    Large-scale continuous pre-training clusters with zero spot-market interruptions.

  2. BResearch-Scale

    High-Throughput Inference

    Production-grade NIM microservices with sub-100ms first token latency.

  3. CCross-Border

    Governed Deployments

    Multi-jurisdictional compliant infrastructure for banking, healthcare, and public sector.

07Projects

AI NEOCloud,
in two phases.

Two deployments that bring high-performance GPU compute on demand to enterprises, AI developers, research teams and cloud partners.

01Project ITP

Go-live Q4 2026

AI NEOCloud & tokenization platform

Build a specialised AI cloud platform that delivers high-performance GPU compute on demand, with tokenized service credits and capacity access to make AI infrastructure easier to consume, allocate and commercialise.

Compute
AI training, inference & HPC — reserved or usage-based
Service credits
Redeemable for GPU hours and cloud services, with entitlement, usage and settlement tracking

Capacity

Hardware

72 NVIDIA B300 servers

Business model

  • Recurring GPU-as-a-Service revenue
  • Reserved capacity contracts
  • Storage & platform services
  • Tokenized service-credit ecosystem

Any future token-based financing or investment models are subject to regulatory review.

02Project PX5

Go-live Q3 2027

AI NEOCloud comprehensive phase

Expand high-performance AI cloud capacity through a 4.5 MW data-centre deployment powered by NVIDIA GB300 NVL72 systems, delivering scalable GPU infrastructure for demanding enterprise and next-generation AI workloads.

Workloads
Model development, fine-tuning, inference & accelerated computing
Growth
Power, cooling, networking and operations aligned for phased expansion

Capacity

Hardware

NVIDIA GB300 NVL72 rack-scale systems

Business model

  • GPU-as-a-Service
  • Reserved capacity contracts
  • AI infrastructure partnerships
  • Managed compute services

Each cell represents 0.1 MW, on one shared scale for both phases.

08Our Partners

Strategic ecosystem &
technology partners.

01Technology & silicon

  • NVIDIANCP Aligned Partner
  • Gigabyte Systems
  • Dell Technologies

02Infrastructure & DC

  • ST Telemedia Global Data Centres
  • Singtel Data Infra
  • AIMS Data Centre

03Software & orchestration

  • Rafay Systems
  • AIVRES Ecosystem
  • CNCF Kubernetes Alliance

Partners as listed in Luminen Labs’ company credentials.

09Contact Us

Ready on Day 1.

Every AI team deserves infrastructure that keeps pace with its models. Tell us about your workloads, capacity and governance requirements.

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