AI / Machine Learning Servers

AI and machine-learning workloads have specific hardware requirements that differ from general-purpose compute. GPU acceleration (NVIDIA Tesla, A-series, H-series, AMD Instinct), high-density DDR4/DDR5 memory, NVMe storage with low queue-depth latency, and 100GbE+ networking for distributed training are the four pillars.

Pro Disk Network stocks server platforms validated for ML — HP ProLiant DL380 Gen10 with up to 4 GPU mezzanine cards, Dell PowerEdge R750xa optimised for 4× double-wide GPUs, Supermicro SuperServer 4U/8U GPU chassis, and Lenovo ThinkSystem SR670 with NVLink topology. All ship pre-configured with the right CPU/PCIe/cooling combination for sustained 100% GPU utilisation under real training loads.

Common deployments: model fine-tuning for retrieval-augmented generation, computer-vision training pipelines, recommender system feature engineering, and on-premises inference clusters where latency and data sovereignty rule out cloud GPUs. We carry both new platforms (with full manufacturer warranty) and OEM-refurbished units (90-day Pro Disk Network warranty, 60-80% discount off MSRP).

If you're sourcing for a specific framework (PyTorch, TensorFlow, JAX, vLLM, ONNX Runtime), we can advise on driver / CUDA / ROCm compatibility before you order.