Physical GPU servers engineered for sustained rack workloads.

A serious multi-GPU server combines a server CPU platform, ECC system memory, appropriate PCIe lanes, high-airflow cooling, remote management, storage and power designed for sustained load. It is not simply a mining chassis with newer cards.

The proposed platforms support multiple GPU workers and, where the software and model support it, tensor or pipeline-parallel inference. The execution pattern must be tested rather than inferred from aggregate VRAM.

• 4U rack form factor with front-to-rear airflow
• AMD EPYC server platforms and ECC memory
• 10GbE baseline and IPMI remote management
• Hot-swap, redundant power on the larger platforms

Per-GPU VRAM constrains what can run on a single card. Aggregate VRAM matters only when the runtime can divide a workload effectively or when several independent services use separate cards.

Context length, KV cache, batch size and concurrent requests also consume memory. That is why a model name alone is not enough to size a server.

The proposed range spans roughly 1kW to 3.3kW planning loads before cooling overhead. Actual consumption depends on the chosen parts and workload. A site pre-flight must confirm circuits, rack, ventilation, room temperature, internet, noise tolerance and UPS policy.

If the server cannot be housed responsibly, a tower workstation, colocation or cloud service is the better answer.

Final supplier cost, GPU availability and currency move quickly. We therefore propose a documented fit check, exact bill of materials, time-limited quote and 60% deposit before procurement.

This reduces stock risk and makes substitutions visible. The customer receives the agreed configuration - not a near-enough build hidden behind a generic product title.