Buy an AI Server – LLM Training, Inference, and Fine-Tuning

With MIFCOM, you can configure highly specialized AI servers that are precisely tailored to your deep learning workflows and machine learning pipelines. Whether it’s the resource-intensive training of your own neural networks from scratch or the data-secure, on-premises deployment of large language models within your own company, our AI server provides you with maximum Tensor computing power and memory bandwidth for cutting-edge AI applications.

What sets an AI server apart from traditional server systems?

The field of artificial intelligence is primarily about the rapid processing of massive amounts of data via neural networks. Traditional servers quickly reach their limits in this area. The AI server is therefore specifically optimized to handle mathematical matrix multiplications via dedicated Tensor Cores in record time.

Unlike our GPU server, which is primarily designed for HPC applications, scientific simulation, and GPU rendering, the AI server focuses exclusively on machine learning workloads: training, fine-tuning, and inference for neural networks and large language models. If you’re looking for computing power for rendering or scientific computing instead, you’ll find more suitable systems there.

Our AI systems are perfectly optimized for modern deep learning frameworks such as PyTorch or TensorFlow. They enable data scientists and machine learning engineers to train modern language and multimodal models locally, fine-tune them, or deploy them as high-performance inference interfaces within the corporate network. This guarantees your company complete data sovereignty without reliance on external cloud providers.

Maximum Interconnectivity: NVLink and High-Speed Networks

When training and running inference on extremely large AI models, massive amounts of data must be exchanged in real time between individual graphics cards. Conventional PCIe slots quickly become a bottleneck in this scenario.

For this reason, our high-end AI servers rely on NVIDIA’s SXM and HGX topologies. Via NVLink interconnectivity, up to eight GPUs—such as NVIDIA H100, H200, or Blackwell systems—communicate directly with each other at enormous bandwidth, as if they were a single, massive graphics processor. Combined with high-speed network cards such as the NVIDIA ConnectX-7 for InfiniBand connections, this enables the creation of highly efficient AI clusters capable of handling even the most complex enterprise applications.

Our product range extends from the compact 2U system with a single GPU to the 5U flagship model featuring eight NVIDIA H200 GPUs in an HGX cluster and up to 4,608 GB of DDR5 ECC memory. Processor options include the AMD EPYC 9005, Intel Xeon Scalable v5, and Intel Xeon 6, depending on the desired number of cores and PCIe lane connectivity for the graphics cards.

Our recommendations for AI server systems:

You can find an overview of all server categories by use case under Servers by Application.

If you’re unsure which GPU configuration or CPU platform is right for your AI project, our server buying guide will help you make the right decision.

Any questions? – We’re here to help!

Have you lost track of the vast selection, or do you have specific requirements for your AI project? No problem—our sales team is here to help and will gladly advise you on any questions you may have! You can reach us by phone, email, or via live chat in our store. You’re also welcome to contact our B2B team.

In the Server Configurator, you can configure your system according to your individual preferences.