AI Computing Servers

4 / 8 / 10-GPU · air & liquid cooling · PCIe 5.0 · cluster delivery

JH AI computing servers span edge inference, enterprise inference, training clusters and high-density nodes: the 8-GPU RTX 6000D platform, the 10-GPU Thor T5000 high-density inference platform, 8-GPU air-cooled and 8-10 GPU liquid-cooled Intel/AMD platforms, plus PC-Farm distributed-node servers — delivered air- or liquid-cooled up to rack-scale clusters, qualified in one compatibility loop with our enterprise SSDs and DDR5 RDIMM.

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Product Models

Specification Comparison

8-GPU · RTX 6000D
Type: 8×GPU
Interface: 4U/5U rack-mount
Config: 8× GPU · 600W
8× dual-width GPUs · 600W each · 11× PCIe 5.0
10-GPU · Thor T5000
Type: 10×GPU
Interface: High-density rack
Config: 10× T5000
Up to 10 dual-die T5000 · 10× PCIe 5.0 x16 · 4× CRPS
8-GPU Air-Cooled
Type: 8×GPU
Interface: 4U/5U rack-mount
Config: 8× GPU · 600W
8× dual/quad-width blower GPUs · 12× PCIe 5.0 · 12× LFF
8–10 GPU Liquid-Cooled
Type: 8-10×GPU
Interface: 4U/5U rack-mount
Config: 8-10× GPU · 600W
8-10 triple-width GPUs · full cold-plate coverage · 12× PCIe 5.0
PC-Farm 4U4H
Type: PC-Farm
Interface: 4U rack-mount
Config: 4× Node
4 hot-plug PC nodes · 750W per node · 4× CRPS 1100W
PC-Farm 6U6H
Type: PC-Farm
Interface: 6U rack-mount
Config: 6× Node
6 hot-plug PC nodes (1 GPU each) · 750W per node · 4× CRPS 1100W
GPU topology, PCIe 5.0, power and airflow engineering
BIOS/BMC, driver, CUDA and firmware compatibility validation
Burn-in, NCCL / GPUDirect RDMA and multi-node stress testing
Tiered system/cache/data drives from our enterprise SSD and DDR5 RDIMM lines
Design, integration testing, on-site deployment and O&M in one delivery

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