Enterprise GPU & Data Centre Infrastructure

Infrastructure engineered
by the rack unit.

MTC Communications Sdn Bhd delivers GPU rental, secure co-location, network connectivity and managed infrastructure for AI training, inference, rendering and low-latency workloads.

B300 / B200Next-gen GPU options
8–32 GPUCluster sizing presets
24 / 7Infrastructure support
RACK ELEVATION — DC-01 Online
GPUaaS capacity view · 42U reference frame · live provisioning status
Trusted Technology Partners

Provisioned fast

Standard GPU clusters ready in days, not weeks.

Secured end to end

Biometric facility access and DDoS-monitored network.

99.99% uptime

Redundant power and cooling across every facility.

24/7 NOC support

Real people watching your workload, day and night.

Core Services

Infrastructure services built for demanding workloads

From single-GPU workloads to full AI infrastructure deployments, MTC provides the building blocks for modern compute environments — sized and billed the way data centres actually run.

GPU as a Service

4U node

Flexible GPU rental for AI training, inference, rendering, simulation and compute-intensive workloads.

  • B300, B200, H200, H100, A100 options
  • Dedicated or custom GPU clusters
  • Storage and network add-ons
  • Enterprise quote and SLA options

Co-location

Up to 42U

Secure data centre hosting for enterprise servers, racks and infrastructure requiring reliable power and connectivity.

  • Per-U, quarter, half and full rack
  • Redundant power and cooling planning
  • Remote hands support
  • Carrier-neutral connectivity options

Network & IP Transit

1U switch

Low-latency scalable connectivity for enterprises, service providers, SaaS platforms and content workloads.

  • IP transit and bandwidth options
  • BGP routing support
  • Traffic monitoring and alerting
  • DDoS protection planning
Cluster Architecture

Every node connected, every link accounted for.

GPU clusters are provisioned as fully-meshed pods — compute nodes tied into a high-bandwidth interconnect fabric with a dedicated switching hub, so scaling from 8 to 32 GPUs adds capacity without adding latency.

NVLink / InfiniBandInterconnect fabric
Non-blockingSwitch topology
< 2μsNode-to-node latency
Use Cases

One infrastructure stack, four workload profiles

Every workload draws power and bandwidth differently. Switch tabs to see how GPU model, cluster shape and networking are typically matched to each one.

LLM Inference

Low-latency serving for production LLM and multimodal endpoints, sized for steady request volume rather than burst training loads.

  • H100 / H200 recommended for memory-bound models
  • 1–8 GPU pods, horizontally scaled
  • Standard to 10Gbps network tier
  • Billed hourly or on reserved capacity
request → inference pod response ←

Model Training

Multi-day to multi-week training runs need sustained throughput across every node in the cluster without interconnect bottlenecks.

  • B300 / B200 for large-parameter models
  • 16–32 GPU clusters, NVLink-meshed
  • Dedicated 25–100Gbps fabric
  • 3, 6 or 12-month reserved terms
loss ↓ over training steps

Rendering & Simulation

Burst-heavy render farms and physics simulation need fast GPU turnaround, not always sustained utilisation — priced to match.

  • A100 / H100 for cost-efficient throughput
  • 1–16 GPU on-demand allocation
  • High-capacity NVMe storage add-on
  • Monthly or hourly billing

HPC / Research

Academic and scientific compute — genomics, climate modelling, computational chemistry — with mixed CPU/GPU workloads and long queues.

  • A100 / H100 mixed-precision compute
  • Flexible 1–32 GPU allocation
  • Budgetary and grant-cycle billing options
  • Shared or dedicated cluster access
About MTC

Malaysian-owned infrastructure, built for AI-scale demand

MTC Communications Sdn Bhd designs, provisions and operates GPU compute, co-location and network infrastructure from Petaling Jaya, Selangor — supporting enterprise, research and service-provider workloads across the region.

We work directly with NVIDIA, Dell, Supermicro, HP, Intel, Cisco and ASUS to keep pace with each new GPU generation, from A100 through B300.

2Core Facilities
24/7NOC Support
5GPU Generations Supported
42UMax Rack Density
DATA HALL — DC-01 FLOOR PLAN
Facility Partnership

Hosted in a certified Tier-3 facility

GPUaaS and co-location workloads run out of a partner data centre engineered for high-density AI compute — certified Tier-3, eco-friendly by design, and built to maintain a 99.99% uptime guarantee. Exact site details are shared under NDA during the quoting process.

Tier-3Certified design
99.99%Uptime guarantee
5MVARedundant power capacity
PrecisionCooling & humidity control
BiometricAccess & on-site security
CertifiedFire suppression systems

Design accredited against recognised quality and compliance standards, with an eco-friendly power and cooling profile aligned to Malaysia's sustainable-infrastructure goals.

Live Snapshot

What a running cluster looks like

An illustrative view of the metrics our NOC tracks in real time across every provisioned cluster.

DC-01 · Cluster Pod 04 Live
GPU Utilization
87%
Network Throughput
42Gbps
Power Draw
18.4kW
GPUaaS Quote Engine

Enterprise GPUaaS calculator and quote request

Select your GPU model, cluster size and workload preset for an indicative monthly estimate, then submit a quote request directly to our sales team.

Estimated Monthly Cost
RM 0
ComputeRM 0
Term discount– RM 0
Storage add-onRM 0
Network add-onRM 0
Indicative estimate for planning purposes only. Final pricing is confirmed by MTC sales based on capacity, SLA and deployment specifics.

Request Official Quote

Submit your requirement directly to MTC sales — this opens a pre-filled email to sales@mtcc.my.

Your email client should now be open with the request pre-filled — review and hit send.
FAQ

Common questions

The essentials on how GPUaaS, co-location and network services are provisioned and billed.

Standard 1–8 GPU configurations are typically available within days. Larger 16–32 GPU clusters depend on current capacity — submit a quote request with your timeline and we'll confirm availability.

GPUaaS is compute you rent on our hardware, billed hourly or on a term contract. Co-location is rack space, power and connectivity for servers you own and bring to our data centre.

Clusters are provisioned as a single GPU model for consistent interconnect performance. If a workload needs mixed hardware, we can provision separate pods on the same network fabric.

Standard through 100Gbps ports, BGP routing, carrier-neutral connectivity and DDoS protection planning are available on both GPUaaS and co-location, alongside biometric facility access.

Yes — 3, 6 and 12-month terms carry 5%, 10% and 15% discounts respectively over monthly billing. Use the calculator above to compare terms.