The Infrastructure Behind Intelligent AI
From high-performance GPU computing to dedicated AI servers, deploy, run and scale your AI workloads with infrastructure built around your business needs.
Powering AI at Every Scale
Explore high-performance GPU computing, AI servers and on-premise solutions designed to support AI development, model training and enterprise deployment.
GPU as a Service
Access high-performance computing (HPC) with NVIDIA H100 GPUs through SNS Network, powering demanding AI workloads while keeping data within Malaysia to support data sovereignty and local governance requirements.
Data Sovereignty
Keep data within Malaysia when deployed under the appropriate local infrastructure and data-handling arrangements.
High-Performance Computing
Support demanding AI workloads, including model training and inference.
Flexible Access
Explore GPU rental options without the upfront cost of purchasing hardware.
NVIDIA Edge AI
Run AI directly within your office or on-premises environment, keeping sensitive information within your own infrastructure rather than sending it to external AI services. Process data locally, maintain greater control over information, and reduce reliance on usage-based AI token fees when using locally hosted models.
Data Stays On-Site
Keep sensitive business data within your office infrastructure.
No Per-Token API Fees
Reduce reliance on external AI APIs by running suitable models locally, subject to hardware and operating costs.
Greater Data Control
Support private AI applications for internal business workflows and sensitive information.
NVIDIA High-End AI
Take on demanding AI workloads with advanced NVIDIA GPU computing infrastructure. NVIDIA B300 offers a higher-performance platform than H100 for supported workloads, making it suitable for organisations with intensive AI computing requirements.
Advanced AI Computing
Support demanding AI training and inference workloads.
Higher Performance
Explore next-generation GPU capabilities beyond H100.
Scalable Infrastructure
Build computing capacity around your organisation's AI requirements.
MaiStorage aiDAPTIV+
Train and fine-tune large language models locally using your own data, with high-endurance flash storage to extend effective GPU memory and enable more cost-efficient, on-premises AI workloads.
Extended GPU Memory
Enables larger AI models to be trained beyond conventional GPU memory limits.
Cost-Efficient AI Training
Uses high-endurance flash storage to optimise infrastructure costs.
On-Premises Data Control
Supports AI training with your own data within your local infrastructure.
Find the Right Computing Power for Your AI Needs
From on-premises AI deployment to demanding AI workloads, explore computing solutions that match your performance needs and infrastructure requirements.
 NVIDIA RTX A6000 | NVIDIA H100 | NVIDIA B300 | |
|---|---|---|---|
| Positioning | Professional AI & visual computing | High-performance AI computing | Next-generation large-scale AI computing |
| GPU memory | 48 GB GDDR6 ECC | 80 GB HBM3* | 288 GB HBM3e* |
| Best suited for | AI inference, development, fine-tuning and visual workloads | Demanding AI training, inference and HPC | Very large AI models and intensive training or inference |
| Deployment approach | Local workstation or compatible server | Data-centre GPU infrastructure | High-end multi-GPU data-centre infrastructure |
| Acquisition model | Purchase through Agmo | Rental through SNS Network, subject to availability | Confirm availability and supply arrangement |
| Ideal for | Businesses building or running their own AI environment | Teams needing substantial GPU compute capacity | Organisations with large-scale AI compute requirements |
* Per GPU. Memory and configuration may vary by system.