MTC Communications Sdn Bhd delivers GPU rental, secure co-location, network connectivity and managed infrastructure for AI training, inference, rendering and low-latency workloads.
Standard GPU clusters ready in days, not weeks.
Biometric facility access and DDoS-monitored network.
Redundant power and cooling across every facility.
Real people watching your workload, day and night.
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.
Flexible GPU rental for AI training, inference, rendering, simulation and compute-intensive workloads.
Secure data centre hosting for enterprise servers, racks and infrastructure requiring reliable power and connectivity.
Low-latency scalable connectivity for enterprises, service providers, SaaS platforms and content workloads.
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.
Every workload draws power and bandwidth differently. Switch tabs to see how GPU model, cluster shape and networking are typically matched to each one.
Low-latency serving for production LLM and multimodal endpoints, sized for steady request volume rather than burst training loads.
Multi-day to multi-week training runs need sustained throughput across every node in the cluster without interconnect bottlenecks.
Burst-heavy render farms and physics simulation need fast GPU turnaround, not always sustained utilisation — priced to match.
Academic and scientific compute — genomics, climate modelling, computational chemistry — with mixed CPU/GPU workloads and long queues.
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.
High-density racks with hot/cold aisle containment
Redundant UPS, generator backup and precision cooling
Carrier-neutral, BGP-routed, DDoS-monitored fabric
Biometric access control and 24/7 on-site monitoring
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.
Design accredited against recognised quality and compliance standards, with an eco-friendly power and cooling profile aligned to Malaysia's sustainable-infrastructure goals.
An illustrative view of the metrics our NOC tracks in real time across every provisioned cluster.
Select your GPU model, cluster size and workload preset for an indicative monthly estimate, then submit a quote request directly to our sales team.
Submit your requirement directly to MTC sales — this opens a pre-filled email to sales@mtcc.my.
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.