Train faster onNVIDIA-accelerated UK GPUs.

Our AI servers feature the latest NVIDIA GPUs with CUDA cores and Tensor cores specifically designed for parallel processing and matrix operations essential in machine learning. We include pre-installed ML frameworks like PyTorch and TensorFlow, optimised CUDA drivers, high-bandwidth memory for handling large datasets, and NVMe storage for fast data loading. The servers also support distributed training with high-speed interconnects and come with containerisation tools for MLOps workflows.

Yes, we provide comprehensive AI migration services handled by machine learning engineers and DevOps specialists. Our migration process includes transferring your datasets, model checkpoints, training scripts, and environment configurations while maintaining data integrity and model performance. We handle framework compatibility, GPU driver optimisation, and distributed training setup. The migration typically takes 24-48 hours for standard setups, and we provide thorough testing to ensure your models train and inference correctly on our infrastructure.

We offer 24/7/365 expert support from certified AI infrastructure specialists and machine learning engineers who understand the complexities of GPU computing and distributed training. Our support includes CUDA driver updates, ML framework optimisation, distributed training configuration, performance tuning, and emergency response for critical training jobs. We provide proactive monitoring of GPU utilisation, memory usage and training metrics, automated backups of models and datasets, and can assist with hyperparameter tuning, model deployment, and MLOps pipeline setup.