MY · KLANG VALLEY / JOHOR GPU FACTORY — AGMO HOLDINGS BERHAD REV 2026.08 · BURSA: 0258

GPU Compute Cloud Services &
Data Center Hosting Solutions

A Malaysia-based AI infrastructure partnership for Chinese enterprises — from GPU compute access to fully compliant, localized deployment, end to end.

Next-Gen GPU Compute Platform Tier III/IV Data Centers Rigorous Compliance Review Bursa Main Market: 0258
8× GPU Units High-Speed Memory System Power ~14.5kW High-Speed Interconnect Direct Liquid Cooling
Purpose of This Overview

Two Core Focus Areas

Built for Chinese enterprises — full support from compute access through to localized deployment.

01
Focus 01

GPU Compute Cloud Services & Procurement

Flexible access to GPU cloud compute, plus support for outright hardware procurement — covering everything from on-demand rental to self-built clusters.

02
Focus 02

Data Center Hosting Services

Internationally certified data center colocation space in Malaysia, helping enterprises deploy locally and stay compliant.

Why Work With Us

The Cost Advantage of GPU Compute Cloud Services

Based on a single NVIDIA B300 node over a 5-year operating period — owned/hosted infrastructure cost vs. market spot pricing.

Our Infrastructure Cost Basis
$2.17
/ GPU-hour
  • CAPEX: B300 × 1 node = US$600,000
  • OPEX: DC hosting at RM750/kW/month × 14.5kW × 60 months ≈ US$159,536
  • 5-year total cost: US$759,536 ÷ 350,400 GPU-hours (8-GPU node × 24/7 × 5 years)
Market Spot Price
$8.50
/ GPU-hour
  • August 2026 industry average on-demand spot rate (B300)
  • Roughly US$7–18/GPU-hour, depending on provider and commitment term
~74% Lower Cost
Over a 5-year period per node, saves roughly US$2.2M versus market spot pricing
Assumptions: exchange rate 1 USD ≈ RM4.09; B300 node power draw of 14.5kW (NVIDIA DGX B300 official spec); calculated at 24/7 full-load operation. This is an infrastructure cost basis only, excluding service and software-layer fees — actual GPUaaS pricing will reflect the full value of the service.
01
Part One

GPU Compute Cloud Services & Procurement

Funding · Team · Customers · Hardware Partners · AI Gateway Platform · Inventory & Roadmap · Compliance

The GPU Compute Business, End to End

Buying GPUs?

Three things you need in place before you can start a GPU compute business.

01

Funding

Capital to acquire GPU hardware and infrastructure

02

Team (FDE)

Forward-deployed engineers working hands-on with customers

03

Customers

A stable source of demand — starting with the Merdeka LLM white-label business

Element 1 · Funding

Sources of Funding

  • Equity / Shareholder Capital

    Agmo moved to the Main Market of Bursa Malaysia in April 2026, giving direct access to public capital markets

  • Asset-Backed Debt

    GPU hardware and data center hosting agreements can serve as collateral for term loans

April 2026
Main Market Listing
Agmo officially moved to the Main Market of Bursa Malaysia
Element 2 · Team

Forward Deployed Engineering (FDE) Team

Every GPU compute engagement is backed end-to-end by a dedicated FDE team — handling deployment, tuning, and systems integration, not just infrastructure hand-off.

Project Team Structure
1 Project Manager
2 Forward Deployed Engineers
Element 3 · Customers

Merdeka LLM — A White-Label Umbrella Brand

The same underlying AI infrastructure, rebranded and tuned for the data and compliance needs of each vertical.

MERDEKA LLM
Education
Finance
Oil & Gas
+ More
Business Times: Malaysia's first education-focused AI model, Sasbadi and Agmo partnership
BUSINESS TIMES — SASBADI × AGMO, MALAYSIA'S FIRST EDUCATION-FOCUSED AI MODEL
Supply Chain

Hardware Partners

The distribution and OEM relationships that put GPU hardware in our hands.

SNS
Dell
Aivres
Lenovo
VSTECS
Gigabyte
Asus
Inventec
NVIDIA HGX
Agmo and SNS Network MOU signing ceremony
AGMO × SNS NETWORK — MOU SIGNING CEREMONY
Software Layer

AI Gateway Management Platform

Built on LiteLLM — the leading open-source AI gateway standard for routing, governing, and monitoring model traffic.

Unified API

One endpoint for 100+ LLM and GPU-hosted models — switch providers without rewriting integrations

Cost Tracking & Budgets

Per-team, per-key spend limits with real-time usage analytics

Load Balancing & Failover

Automatic failover across models and providers keeps workloads running

Virtual API Keys & Access Control

Scoped keys issued per team or customer, without exposing upstream credentials

Observability & Logging

Every request and response through the gateway is fully logged for audit

LiteLLM model management dashboard
LITELLM — MODEL MANAGEMENT CONSOLE
Inventory & Roadmap

From Today’s Fleet to Next-Gen Silicon

Live Today
64
× NVIDIA H100 GPUs
Deployed with SNS since 2024 — running today as AI as a Service.
Coming Next
NVIDIA B300

Blackwell Ultra platform

NVIDIA GB300

Grace Blackwell superchip platform

NVIDIA H100 GPU server inventory
LIVE H100 INVENTORY — PRODUCTION GPU NODE
Compliance

KYC & Compliance Process

This is a rigorous compliance review process — every GPU allocation is fully vetted before it ships, which is exactly what keeps us qualified for continued access to the upstream supply chain. Summary below:

1
Company & Ownership Verification

Verification of registration details, ownership structure, and ultimate beneficial owners

2
End-User / End-Use Certification

Certified against military end-use and restricted-party lists under applicable export control rules

3
Restricted Party Screening

Cross-checked against relevant restricted-party lists

4
Re-Export & Diversion Controls

Commitment against re-export or resale to restricted destinations

5
Ongoing Monitoring & Audit

Periodic re-certification and usage audits throughout the deployment lifecycle

TYPICAL INFORMATION WE'LL ASK FOR
Company & Ownership

Legal entity details, corporate registration, ownership structure, board of directors, and key management

Business Profile

Description of the business, and — for non-technology end users — the justification for adopting AI compute

Deployment & Site

Ship-to address, data center location, power capacity, facility size, and site ownership status

System Justification

Expected GPU model and quantity, intended workloads, and the planned installation and setup

Networking Plan

Planned networking protocol and equipment for the deployment

Authorization

Authorized points of contact, and — where a reseller is involved — the relationship to the end user

Since mid-2026, Malaysia has faced stricter upstream supply-chain compliance scrutiny over transshipment risk — rigorous KYC is exactly what keeps our GPU allocation access intact. The above is a summary of our internal compliance process and does not reference any specific document.
02
Part Two

Data Center Hosting Services

Data Center Partners · Hosting Capabilities · Certifications & Capacity

Hosting Partners

Data Center Partners

Our partners work with Malaysia’s leading data center operators to offer internationally certified colocation space.

NEXTDC
KL1 · Petaling Jaya
  • Tier IV certified (Uptime)
  • 65MW IT capacity
  • NVIDIA DGX-Ready operator
Strateq
Klang Valley Network
  • Malaysia’s first homegrown data center operator
  • Enterprise-grade, multi-site footprint
  • Serving finance, energy, and healthcare
KVDC
TM ONE · Cyberjaya
  • Tier III certified (Uptime)
  • ~25MW capacity
  • Part of TM’s Twin-Core data center strategy
Equinix
Kuala Lumpur + Johor
  • 4 sites in Malaysia: KL1 and JH1 live; KL2 and JH2 expanding
  • KL2 features AI-ready liquid cooling
  • Global interconnection ecosystem
NEXTDC KL01 briefing session
NEXTDC KL1 — CHANNEL PARTNER BRIEFING
Data center facility architectural model
DATA CENTER CAMPUS — ARCHITECTURAL MODEL
Capacity and certification figures are as publicly disclosed by each operator.
Contact Us

Let’s Build Malaysia’s
AI Compute Hub Together

GPU Compute · Data Center Hosting · Software Platform · AI Solutions — write to us and we’ll be in touch shortly.

AGMO HOLDINGS BERHAD THINK CLAUDE, THINK AGMO
Get in Touch
gpu@agmogroup.com

Tell us about your GPU compute or data center hosting needs and we’ll be in touch shortly.

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