Key Takeaways:

• Not All “AI-Ready” Claims Are Equal: The best GPU hosting data centres have proven deployments, not theoretical capability.
• High Power Density Is Critical: GPU racks require 15–20kW+ per rack, supported by Tier-III certified power infrastructure.
• Advanced Cooling Is Non-Negotiable: In-row containment, CRAH/CRAC, and fan wall systems prevent GPU throttling and ensure performance stability.
• Be Ready for Liquid Cooling: Future GPU architectures like NVIDIA Blackwell (GB200/300) will require liquid-cooling infrastructure, so choose a data centre already prepared.
• AIMS Leads in GPU Hosting: With proven GPU deployments, 20kW-ready racks, and liquid-cooling readiness, AIMS provides Malaysia’s most reliable environment for enterprise AI workloads.

Introduction

As enterprises across Malaysia invest in AI, machine learning (ML), and high-performance computing (HPC), the demand for GPU server hosting has skyrocketed. However, not every data centre that’s marketed as “AI-ready” truly supports GPU workloads.

Choosing the right facility requires looking beyond generic claims and more towards proven infrastructure, operational readiness, and deployment flexibility.

So, how do you tell if a data centre is genuinely built for GPU hosting?

Here’s What to Look for in a Data Centre for GPU Server Hosting

GPU servers are vastly different from traditional compute systems. They require higher power density, advanced cooling, and ultra-low-latency connectivity. When assessing a provider, it comes down to six critical areas.

Proven GPU Hosting Track Record

Experience matters. The provider should already have GPU servers running in live production environments, not just claim theoretical “AI support”.

Ask for specifics, such as which GPU models, for example NVIDIA H100, H200, or A100, are deployed and how many enterprise-grade GPU racks are actively managed.

A strong track record gives you confidence that the facility has already handled the real operational pressures that come with GPU-intensive systems, not just talked about them.

Power Density Capacity

GPU servers typically draw 15 to 20kW, or even more, per rack. Make sure this level of power delivery is built into the facility’s standard design, rather than something that requires expensive upgrades or long deployment delays.

High-density readiness is non-negotiable for GPU hosting performance.

Cooling Infrastructure for GPU Workloads

GPUs produce significant heat within a relatively small rack footprint.

Prioritise facilities with in-row containment, CRAH or CRAC systems, and fan wall cooling. Basic raised-floor setups alone are rarely enough. Effective thermal management protects against GPU throttling and maintains steady computational performance.

Liquid Cooling Pathway

Next-generation GPU systems, including NVIDIA’s Blackwell architecture (GB200/300), are designed for liquid cooling.

Ideally, choose a data centre that already supports liquid cooling or has a clear roadmap for deployment, ensuring long-term compatibility.

Low-Latency, High-Bandwidth Connectivity

GPU workloads depend on fast data movement.

A carrier-neutral provider with strong multi-cloud connectivity and high-bandwidth routing can help prevent bottlenecks in distributed training and inference workloads.

Deployment Flexibility

GPU hardware evolves rapidly.

Rigid colocation environments can make upgrades or reconfiguration difficult, so it’s best to work with a partner that offers flexibility. This allows fast onboarding, scaling, and hardware refresh cycles that align with your AI roadmap.

The strongest GPU-ready data centres show proven live deployments today, rather than relying on promises for the future.

AIMS’ Approach to GPU Server Hosting

Our mission at AIMS Data Centre is to ensure enterprises can run AI and HPC workloads on GPU hardware seamlessly. That’s why we’re recognised as Malaysia’s go-to GPU colocation provider.

• Proven Deployments: Currently hosts NVIDIA H100, H200, and B200/300 series GPU servers across Malaysia, running in real deployments rather than just pilot projects.
• High-Density Power: Designed to handle high-density IT loads, ensuring stable performance for air-cooled GPU servers even under continuous heavy use.
• Advanced Cooling Infrastructure: Features advanced cooling systems, including cold aisle containment and fan wall setups, to maintain optimal temperature and airflow for high-performance workloads.
• Liquid Cooling Readiness: Prepared to support next-generation GPU deployments and future liquid-cooled systems, providing flexibility for evolving AI and HPC workloads.
• Carrier-Neutral Connectivity: Offers low-latency, multi-cloud connectivity that supports demanding AI workloads requiring real-time data transfer. Also read: How To Choose a Carrier-Neutral Data Centre for AI Workloads in Malaysia
• Scalable Colocation Options: provide flexible colocation configurations, from individual racks to cages and suites, allowing enterprises to deploy custom backup, storage, or high-performance compute setups. Also read: Why Businesses need a Colocation data Centre?
• Disaster Recovery-Ready Infrastructure: Integrated with our Disaster Recovery services, AIMS helps ensure business continuity with planning, data protection, and recovery management for mission-critical workloads.
• 24/7 Support and Smart-Hands Assistance: Enterprises benefit from round-the-clock system monitoring, on-site technical support, and proactive maintenance through AIMS Support Services, keeping GPU infrastructure running smoothly at all times.

For enterprises looking for a GPU-ready colocation environment, we provide Tier-III certified infrastructure and hands-on expertise to help you tackle today’s most demanding compute workloads.

Learn more about our Colocation Services or read up on Infrastructure Support for AI Deployment to explore how we can enable AI at scale.

Conclusion

The best data centre for GPU server hosting isn’t about marketing, it’s about real deployments, efficient power use, and cooling that’s ready for the future.

With Tier-III reliability, high-density support, and preparation for the next generation of GPU architectures, we provide the solid foundation enterprises need to succeed in AI, ML, and HPC workloads.

Ready to Bring your GPU Infrastructure to Life?

Discover how AIMS’s Tier-III certified colocation and high-density hosting solutions can power your AI, ML, and HPC workloads. 

Connect with our experts today to discuss your enterprise GPU requirements by calling 1800 18 8887, +603 2728 2688 if you’re abroad, or writing to noc@aims.com.my 

Head to www.aims.com.my to explore our solutions and get started.