AI GPU Servers
Custom Built Solutions.
Implementing AI in your business can help drive innovation, improve decision-making, and help you to stay competitive.
MirageTek has over 20 years of experience in helping companies choose the right solutions for their business. Our tailored AI GPU solutions offer reliability via custom builds.
Why AI GPU Servers Matter for Your Enterprise
AI workloads demand exceptional computing power, scalability, and flexibility. Off-the-shelf servers from industry leaders from Dell, HPE, Lenovo, and Supermicro offer proven performance and reliability, backed by enterprise-grade support. However, every business has unique needs – whether it’s maximizing GPU density, optimising costs, or integrating seamlessly with existing infrastructure.
That’s where custom-built AI GPU servers excel. Tailored precisely to your workload and budget, these solutions give you full control over the configuration, from specific GPUs and CPUs to tiered storage and hyper-fast networking components.
Exploring Leading AI GPU Server Options
Dell’s PowerEdge series stands out for its balance of performance, reliability, and adaptability across a wide range of enterprise workloads. Models like the PowerEdge XE9640 and DSS8440 are engineered to support demanding tasks from AI training to inference, with the XE9640 capable of housing up to four NVIDIA H100 SXM GPUs interconnected by NVLink for maximum bandwidth and performance, as well as supporting up to two 5th Generation Intel Xeon Scalable processors with up to 64 cores each. These servers are optimized for high-density GPU acceleration, making them ideal for all AI workloads. From machine learning (ML) and deep learning (DL), to custom HPC workloads.
HPE’s ProLiant and Apollo servers cater to organisations with large-scale AI and HPC needs. The Apollo 6500, for example, packs up to 8 GPUs into a dense form factor, perfect for training complex models. HPE also offers a robust AI software stack, making it easier to deploy and manage AI workloads at scale.
If energy efficiency and flexibility are priorities, Lenovo’s ThinkSystem and ThinkAgile series provide compelling options. Supporting up to 8 GPUs, these servers deliver strong performance for AI and hybrid cloud environments – all while keeping operational costs in check.
For those seeking the maximum in customisation and cost-effectiveness, Supermicro’s servers offer a highly adaptable platform. From 1U rack-mounts and blade nodes to 8U+ form factors, Supermicro supports a wide range of GPUs and accelerators, making it a favorite among research labs and enterprises looking for tailored solutions within budgets.
The Power of Custom-Built AI GPU Servers
Sometimes, off-the-shelf just isn’t quite enough. Custom-built servers empower your IT team to select the exact GPUs (like NVIDIA A100 or AMD MI300X), CPUs, storage, and networking components that match your unique AI workloads. This approach not only optimises performance but also controls costs by avoiding unnecessary features.
Whether you’re running a small AI lab or managing a sprawling data center, custom solutions scale with your business – and crucially, they avoid vendor lock-in, giving you freedom to upgrade and adapt as technology evolves.
Let’s Find Your Perfect AI Server Solution
Choosing the right AI GPU server is a strategic decision that impacts your company’s innovation and efficiency. Whether you lean towards trusted brands like Dell and HPE for their reliability, prefer Lenovo’s cost-effective flexibility, value Supermicro’s customisation, or want a fully bespoke build, we’re here to help.