Enterprise AI GPUs
Data center and professional GPUs for large language model training, fine-tuning and high-throughput inference — specified, sourced and delivered with the surrounding infrastructure in mind.
Memory capacity and bandwidth usually decide GPU selection for AI work. The H200's 141 GB of HBM3e at 4.8 TB/s suits large-model training and serving; the RTX PRO 6000 Blackwell's 96 GB of GDDR7 with FP4 tensor support suits quantised inference and workstation-class fine-tuning at a lower cost per card.
Power and cooling are the second constraint. An eight-GPU H200 node lands between 8 and 10 kW, which exceeds the per-rack design density of many existing facilities. We size nodes and cooling against the kilowatts you actually have.
Request Pricing from MinersDeals
Tell us the model, quantity, destination and timeline, and our team will come back with current availability and a quotation.