GPUs

Server GPUs fall into a few distinct roles: AI/ML training and inference acceleration, virtual desktop infrastructure (VDI) graphics, and general compute offload. Training workloads benefit from the highest memory bandwidth and VRAM capacity available, since large models are often memory-bound rather than compute-bound. Inference and VDI workloads can typically use lower-tier cards, prioritising per-user density over raw throughput. Rackmount server GPUs are almost always passively cooled and rely on the chassis's own airflow — confirm your server's cooling design and available PCIe slot power before ordering, since passively cooled cards will overheat in a chassis without adequate directed airflow.