Dedicated GPU Servers

A dedicated GPU server is a bare metal server specifically configured for artificial intelligence and machine learning workloads. It includes powerful GPUs (like the Nvidia T4 Tensor Core), high-performance CPUs (AMD EPYC), large amounts of RAM (128GB), and fast NVMe storage to handle the intensive computational requirements of AI model training, deep learning, and big data analysis.

The Nvidia T4 Tensor Core GPU is optimized for GPU-accelerated workloads including deep learning model training, inference, natural language processing (NLP), computer vision, recommendation systems, and training large language models (LLMs). It provides accelerated performance for frameworks like TensorFlow, PyTorch, and other AI tools.

GPU servers are typically deployed within approximately 48 hours of order confirmation. This includes hardware provisioning, operating system installation, GPU driver setup, network configuration, and quality assurance testing to ensure your server is ready for GPU-accelerated workloads.

We support all major Linux distributions including Ubuntu (recommended for GPU), CentOS, Debian, and Red Hat Enterprise Linux. These operating systems provide excellent support for AI frameworks like TensorFlow, PyTorch, CUDA, cuDNN, and other machine learning libraries. You have full root access to install and configure any software you need.

Yes, you have full root access to install any GPU frameworks and libraries you need, including TensorFlow, PyTorch, Keras, scikit-learn, CUDA, cuDNN, Jupyter Notebook, and any other tools required for your AI projects. The server comes with a clean installation, allowing you to configure your AI development environment exactly as needed.

128GB RAM is suitable for many GPU-accelerated workloads including training medium to large models, data preprocessing, and running multiple experiments. For extremely large models or datasets, we can provide custom configurations with additional RAM. Contact our sales team to discuss custom hardware specifications for your specific AI requirements.

The 100TB bandwidth allocation is ideal for GPU-accelerated workloads that involve downloading large datasets, uploading trained models, transferring data between servers, and accessing cloud storage. This massive bandwidth ensures you can work with large datasets without worrying about transfer limits.

Yes, we can provide custom configurations with upgraded GPUs or multiple GPU setups for more demanding AI workloads. Options include higher-end Nvidia GPUs with more VRAM and multi-GPU configurations for parallel training. Contact our sales team to discuss custom GPU configurations for your specific requirements.

All GPU servers include 24/7 UK-based technical support from our expert team in Central London. Our support team can assist with hardware issues, network connectivity, server configuration, and general troubleshooting. While we provide infrastructure support, you are responsible for your GPU software and applications.

Our GPU servers are unmanaged by default, giving you complete control over your GPU environment. However, we can provide optional managed services for server monitoring, security updates, and infrastructure maintenance. Contact our sales team to discuss managed service options for your AI infrastructure.