Typical configuration
4-GPU Inference & Fine-tuning Node
- chassis
- ASUS ESC4000A-E12 (2U)
- cpu
- Single AMD EPYC 9005
- gpu
- 4Γ NVIDIA H200 NVL or RTX PRO 6000 Blackwell (PCIe)
- ram
- 512GB DDR5 ECC
- storage
- NVMe U.2 / U.3
Enterprise rack servers
A practical sweet spot for many AI and HPC deployments β balance of density and thermals.

Four GPUs is enough for serious fine-tuning and batch inference on one node while staying within typical rack power budgets.
A single high-core-count CPU can feed four cards, keeping cost and power below a dual-socket host.
Air-cooled, liquid-assisted and short-depth variants cover everything from colocation cages to edge cabinets.
Standard PCIe datacentre GPUs mean cards can be upgraded or moved to another system without replacing the server.
Our team will spec the right platform for your workload, validate compatibility, and turn it around fast.
Four double-width slots
Four double-width PCIe 5.0 GPU slots in a 2U chassis, on AMD EPYC 9005 or 5th Gen Intel Xeon Scalable.
Single or dual socket
One high-core CPU for cost efficiency, or two sockets when you need more memory channels and NIC lanes.
240V power options
High-amp PSUs on 200β240V circuits run four high-TDP accelerators at full load.
Cooling choices
High-airflow fan walls as standard, with liquid-assisted options for denser racks or warmer rooms.
Representative configurations β every build is tailored to your workload and environment.
Typical configuration
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