Supermicro X14 5U NVIDIA GPU Server

The flagship on-premise AI platform: a current-generation Intel Xeon 6 server in 5U, populated with multiple NVIDIA data-centre GPUs for large-scale training and high-throughput inference.

Price on request · Talk to a Sirap engineer or call (+356) 2138 5911.

Sirap, your Malta partner for Supermicro, with local specification, installation, service and support.

What the X14 5U NVIDIA GPU server is for

This is the top of Sirap’s on-premise AI compute range: a 5U server on the latest-generation X14 (Intel Xeon 6) platform, built to carry multiple NVIDIA data-centre GPUs for the heaviest AI work, large-model training, high-throughput production inference and serious HPC. Where the Universal GPU server is the flexible, vendor-agnostic workhorse, the X14 NVIDIA system is the choice when the workload is firmly on the NVIDIA stack and needs the newest platform’s bandwidth and density. It is the high end of the design in our on-premise AI compute guide.

Who it is for

Larger regulated operators in finance, fintech and iGaming training or running substantial models in-house for data-residency and resilience reasons, and research or analytics organisations with genuine large-scale AI or HPC needs. This is deliberately the heaviest option, and most operators do not need it: if your workload is steady production inference rather than large-model training, the 4U Universal GPU server is usually the more proportionate and cost-effective choice, and we will say so.

Key features

Latest-generation platform. The X14 generation built on Intel Xeon 6 brings the core count, memory bandwidth and PCIe throughput that the newest NVIDIA GPUs need to perform rather than bottleneck.

Dense NVIDIA acceleration. A 5U chassis designed to host and cool multiple NVIDIA data-centre GPUs running at sustained full load.

Engineered for AI throughput. High-speed interconnect and storage paths so the GPUs stay fed during training and high-volume inference, where the data path usually decides real performance.

Serious power and cooling. Built for the heavy, variable draw of a fully populated AI server, with airflow or liquid-cooling options to match.

Technical specifications

GPU model and count, memory, storage and cooling are specified to the workload, so this is quoted as a configured build rather than a fixed SKU. Sirap confirms the exact configuration against the current Supermicro datasheet and your AI workload at quote, and will recommend a smaller platform when the heaviest option is not warranted.

What is in scope from Sirap

A server of this class is an engineered deployment, not a delivery. We size the GPU configuration to genuine training or inference demand, design the high-speed storage and network fabric so the accelerators are never the component left waiting, plan the power and cooling for a load most server rooms are not built for, and commission and support it from Malta. For regulated operators, the data-residency and continuity design is part of the build from the outset.

Often paired with

• A fast storage tier on DataCore and an X13 storage server data lake, so the GPUs are fed at full rate.
• Three-phase Eaton power sized for real GPU draw, with the certified Network-M3 card for NIS2 and DORA (see our UPS cybersecurity guide).
• The 4U Universal GPU server as the lighter, vendor-flexible alternative for inference-led workloads.

Could this be grant-funded?

Major on-premise AI investment can align with Malta Enterprise schemes aimed at strategic and productive investment, including the Smart & Sustainable Investment Grant and, for larger strategic projects, the Invest aid measures. Fit depends on the project. Read our guide and see if your project qualifies, or talk to a Sirap engineer.

Frequently asked questions

How is this different from the 4U Universal GPU server?
The Universal GPU server is vendor-flexible and excellent for inference-led and mixed workloads. The X14 5U NVIDIA server is the heavier, newest-platform choice for workloads firmly on the NVIDIA stack that need maximum density and bandwidth, typically large-model training. Most operators need the former; we will tell you honestly which you are.

Do we really need the latest Xeon 6 platform?
For the heaviest training and the newest GPUs, the platform’s bandwidth genuinely matters and an older host would bottleneck the accelerators. For steady inference it often does not, which is exactly when we would point you at a more proportionate server.

Can our server room actually power and cool this?
That is one of the first things we check. A fully populated AI server has a heavy, variable draw and real cooling demands, so we assess and design the power and cooling, including three-phase Eaton UPS and airflow or liquid cooling, before anything is ordered.

Talk to a Sirap engineer

Tell us the AI workload and your power and data-residency constraints, and we will specify the right platform honestly, design the storage and power around it, and commission and support it from Malta.

Request a quote · Price on request