AI INFRASTRUCTURE CAMPUS · THAILAND

Ready for global-scale AI infrastructure

AI infrastructure.
Green energy.
Up to 10 MW. One site.

Power, liquid cooling, network and operations planned for NVIDIA HGX B300-class infrastructure—from import coordination and deployment to commissioning and Ruk-Com managed operations.

NVIDIA-verified readiness · Verification scope is available during due diligence.
Concept visualization of the Ruk-Com AI Datacenter campus within Thailand's green landscape
Site power
AI data halls
Cooling plant
Concept visualizationRuk-Com AI Datacenter CampusDeveloped from the supplied site reference photograph
Project capacity10 MW
0110 MW

Green-energy capacity at one site

02Thailand

A regional base for AI infrastructure

03B300

Prepared for NVIDIA HGX B300-class

04End to end

Import, deploy, commission and operate

THE INVESTMENT CASE

One site connecting energy, land and AI infrastructure

Ruk-Com brings site, energy, cooling and operations into one investment plan that can be diligenced and expanded by phase.

01 / POWER

Green energy aligned with the campus

Reduce site-and-power coordination complexity, with the energy-source scope documented for due diligence.

02 / CAMPUS

Designed as an AI data hall

Plan power density, cooling distribution, service access and expansion around the approved rack profile.

03 / COMPUTE

Ready for high-density AI

Plan racks, cooling, network and logistics for NVIDIA HGX B300-class infrastructure.

04 / OPERATE

Operations continue after handover

Operate facility, platform and incident coordination under the agreed service scope.

POWER-TO-WORKLOAD ARCHITECTURE

See the entire system in one flow

From site energy to a running workload. Redundancy and subsystem capacity are confirmed in the project design.

AI CAMPUS · INFRASTRUCTURE FLOW
POWER → RACKGreen energy → site power

Energy passes through distribution and protection before reaching each rack.

COOLING ⇄ RACKCooling plant & CDU

Supply feeds the cooling interface; return carries heat back to the cooling plant.

RUK-COM / AI DATA HALL High-density AI compute

Infrastructure for NVIDIA HGX B300-class systems

TrainingInferenceAI Cloud
DATA ⇄ COMPUTENetwork & storage fabric

Connect GPUs, storage and users through separate front-end, back-end and management networks.

OBSERVE → RESPONDRuk-Com operations

Receive telemetry and alerts to coordinate investigation, maintenance and incident response.

Conceptual architecture · Cooling is separate from the data network · Power, redundancy and cooling interfaces follow the approved design and selected hardware.

Coordinated by Ruk-ComPower · Cooling · Network · Compute · Operations
EnergyFacilityWorkload
Concept visualization of the AI data hall with liquid cooling and Ruk-Com operations engineers
Concept visualization of the AI data hall interior
High-density racksLayout follows the approved system
Liquid coolingManifold · CDU · Monitoring

INSIDE THE AI HALL

Facility and AI compute,
designed together

AI infrastructure requires facility and compute design to move together. Ruk-Com translates hardware, power, cooling, network and operations into one deployment plan.

01
Rack & logistics engineering

Validate dimensions, weight, delivery route, staging and installation sequence before hardware reaches the site.

02
Cooling distribution

Select air cooling, rear-door heat exchangers or direct-to-chip cooling with CDUs to match the hardware and rack profile.

03
Operations by design

Prepare runbooks, access control, change process and incident coordination before go-live.

NVIDIA-VERIFIED READINESS

A systematic site path for NVIDIA HGX B300-class

Connect rack-scale requirements to facility work—from power and cooling interfaces to network fabric, floor loading, delivery route and commissioning.

HGX B300-classDeployment target
01Power interface
02Liquid cooling
03Network fabric
04Commissioning
Verification scope

Request the verification scope, covered systems and supporting documentation for your technical due-diligence team to assess project readiness.

DEPLOYMENT MODELS

Start with one rack or design an entire hall

Commercial and operating structures match the control each investor requires. Pricing and scope are confirmed after technical discovery.

START

AI rack colocation

Facility services and remote hands aligned to the system rack profile.

  • Dedicated rack footprint
  • Power & cooling assessment
  • Remote hands scope
BUILD

Build-to-suit hall

Design a hall and facility workstreams for a large deployment.

  • Dedicated design workstream
  • Procurement coordination
  • Commissioning programme
OPERATE

Managed AI infrastructure

Add Ruk-Com operations for facility, platform, monitoring and incidents.

  • Operational runbooks
  • Monitoring & escalation
  • Lifecycle coordination

FACILITY & OPERATIONS

Every workstream has an owner and acceptance evidence

Architecture, redundancy, capacity and SLA are confirmed per project after reviewing the rack profile and operating model.

01

Electrical

Utility interface, distribution, protection, metering and capacity allocation.

02

Cooling

Cooling plant, CDU, loop distribution, containment and environmental monitoring.

03

Connectivity

Carrier strategy, meet-me design, private circuits and cloud interconnect.

04

Security & life safety

Plan access zones, visitor controls, fire detection and suppression appropriate to each facility area.

05

Remote hands

Staging, rack-and-stack, inspection, component handling and escalation.

06

Observability

Facility telemetry, capacity trends, alert paths and operational review.

FROM DILIGENCE TO OPERATIONS

Invest through clear decision gates

Advance in phases so technical, commercial and risk assumptions can be validated before the next budget release.

Request due diligence pack
From design to documented handover
DesignValidateHandover
PROJECT DOSSIER

Scope · Ownership · Acceptance criteria

  1. 01
    Discovery & diligence

    Workload, rack profile, energy, site, risk and commercial model.

    GO / REFINE
  2. 02
    Solution design

    Facility interface, cooling, network, security and operating model.

    DESIGN GATE
  3. 03
    Procure & import

    Hardware, logistics, customs workflow and site readiness.

    READY TO SHIP
  4. 04
    Deploy & commission

    Install, integrate, test and capture acceptance evidence.

    ACCEPTANCE
  5. 05
    Operate & expand

    Monitor, maintain, report and plan the next capacity phase.

    RUN

INVESTOR DATA ROOM

Decision-critical information, ready for due diligence

Document access follows project stage and NDA. The data room is structured for investors and their advisers.

01
Site & energy

Site boundary, capacity basis, energy-source scope and expansion assumptions.

02
Technical design

Power, cooling, network, space plan and acceptance criteria.

03
Verification

NVIDIA verification scope, evidence map and limitations.

04
Commercial

Deployment model, responsibility matrix and pricing assumptions.

05
Operations & risk

Operating scope, escalation, security plan and risk register.

06
ESG evidence

Energy-source evidence, measurement method and reporting boundary.

PRIVATE BRIEFINGRequest investor data-room access

INVESTOR QUESTIONS

Questions before technical discovery

Final parameters depend on each project's rack profile, deployment phase and operating model.

Talk to Ruk-Com
What does the 10 MW figure represent?

It is the maximum project power capacity for the integrated site. Actual allocation by phase, hall or rack is confirmed through design and the energy plan.

What does NVIDIA-verified cover?

Programme scope, covered systems and supporting evidence form part of technical due diligence. Our team explains which parts of the infrastructure the verification covers.

How does Ruk-Com support B300 import and deployment?

We coordinate procurement, shipping, customs workflow, site readiness, delivery route, staging and installation sequence, with seller and importer responsibilities defined contractually.

Is standard colocation pricing available?

AI racks differ in power, cooling and operations. Pricing follows review of the system BOM, rack profile, network and service scope.

Is the campus image an as-built photograph?

It is a concept visualization developed from the supplied site reference photo. As-built conditions are verified through documents and a site visit.

BUILD AI INFRASTRUCTURE IN THAILAND

Bring your AI infrastructure
from concept to operation

Share your workload target, rack profile and timeline for a private investor briefing and technical discovery.