Architect your multi-GPU AI server
in interactive 3D.

Configure 4U/5U EIA-310 rackmount GPU nodes with AMD EPYC Genoa (SP5), Threadripper PRO (sTR5), or Intel Xeon (LGA4677) processors, up to 4× NVIDIA RTX 6000 Ada / A6000 48GB ECC blower GPUs (192GB VRAM), 512GB DDR5 Registered ECC RDIMMs, Dual-100GbE GPUDirect RoCEv2 SmartNICs, and 3,200W 80+ Titanium redundant power.

As an Amazon Associate I earn from qualifying purchases. Multi-GPU (`2×` / `4×`) and multi-RDIMM (`8×`) quantities are automatically populated in your Amazon Associates cart checkout (Tag: webdesignerdo-20).

3D Rackmount Chassis Ready — Drag to Orbit • Scroll to Inspect Bays
THREE.JS 4U/5U RACK CAD • MULTI-GPU
RACK TELEMETRY LEDS:
Est. Server BOM
$38,489.96
88 / 128 PCIe 5.0 Lanes
Pooled ECC VRAM
192 GB VRAM
728 TFLOPS FP16 (4× GPU)
70B LLM Throughput
~84 tok/s
Llama-3.1 70B FP16 Full-Weights / 405B AWQ 4-Bit
Rack Power & Heat
1786W / 3200W
6,094 BTU/hr (56% Load)
RACK-VERIFIED • SOCKET, PCIe 5.0 & THERMAL CLEARANCE OK2×100GbE GPUDirect RoCEv2
  • Socket sTR5 verified, 4× GPU array (267mm ≤ 340mm) fits 4U chassis, and 80+ Titanium power budget nominal.
28 curated enterprise server parts loaded
QTY: 1× IN NODE

Rackmount Server Chassis (4U / 5U)

$489.99ASIN: B0859X33H9
View on Amazon ↗
  • 4U EIA-RS310D rackmount enclosure engineered for 4× dual-slot blower GPUs
  • Hot-swappable mid-plane fan wall delivering 480+ CFM front-to-rear static pressure
  • Supports full SSI-EEB (12" × 13") and E-ATX multi-PCIe 5.0 server motherboards
QTY: 1× IN NODE

Server Processor (EPYC / Threadripper PRO / Xeon)

$3,899.00ASIN: B0CK2ZQW2D
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  • 128 native PCIe 5.0 lanes feed 4× x16 GPUs + 100GbE RDMA NIC + Gen5 NVMe at full x16 bandwidth
  • 5.3 GHz boost clock eliminates single-thread Python tokenization and data-loader bottlenecks
  • 8-channel DDR5 Registered ECC RDIMM controller with AMD PRO manageability
QTY: 1× IN NODE

Multi-PCIe 5.0 Server Motherboard (BMC IPMI)

$1,299.99ASIN: B0CS6Q5PQ4
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  • 7 reinforced PCIe 5.0 x16 slots spaced for 4× dual-slot blower GPUs + 100GbE RDMA NIC
  • 32+3+3+3 power stages with active VRM cooling and dual ATX + PCIe 8-pin auxiliary power inputs
  • Onboard ASPEED AST2600 BMC controller for headless KVM-over-IP and Redfish telemetry
QTY: 4× IN NODE

Multi-GPU AI / Tensor Compute Array

$27,196.00 (4× $6,799.00)ASIN: B0C1Q5X8M8
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  • 192 GB total ECC GDDR6 VRAM (4× 48GB) runs Llama-3.1 70B in native FP16 or 405B in 4-bit AWQ
  • 18,176 CUDA cores + 568 4th-Gen Tensor Cores per GPU (72,704 CUDA cores total across node)
  • Rear-exhaust dual-slot blower shroud designed specifically for stacked 4-GPU 4U rack density
QTY: 8× IN NODE

Registered ECC Server Memory (DDR5 RDIMM)

$2,152.00 (8× $269.00)ASIN: B0BM4V9R6T
View on Amazon ↗
  • 512 GB multi-bit error-correcting Registered RDIMM capacity for massive model weight pinning in host RAM
  • Populates all 8 channels on Threadripper PRO / Xeon W-3400 or 8 of 12 channels on EPYC SP5
  • Data-center validated Micron server DRAM with thermal sensor telemetry
QTY: 2× IN NODE

Enterprise NVMe Scratch & Checkpoint Pool

$1,498.00 (2× $749.00)ASIN: B0B6C9K7W3
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  • 15.36 TB enterprise 176-layer NAND pool stores dozens of 70B/405B safetensors checkpoints locally
  • Hardware Power-Loss Protection (PLP) tantalum capacitors prevent filesystem corruption on power drop
  • Consistent sub-2ms 99.9999% QoS read latency under heavy vector database I/O
QTY: 1× IN NODE

RDMA / RoCEv2 High-Speed Network Fabric NIC

$895.00ASIN: B08L5M8465
View on Amazon ↗
  • Hardware GPUDirect RDMA bypasses host CPU RAM for direct GPU-to-GPU NCCL AllReduce across nodes
  • Dual 100GbE QSFP56 ports (200 Gbps full-duplex aggregate) with RoCEv2 congestion control (DCQCN)
  • Inline TLS/IPsec crypto acceleration and ASAP2 Open vSwitch hardware offload
QTY: 2× IN NODE

80+ Titanium Redundant / Multi-GPU Power

$1,059.98 (2× $529.99)ASIN: B0B57RPQ81
View on Amazon ↗
  • 3,200W combined 80+ Titanium power delivery effortlessly handles 4× 300W–450W GPUs + 360W CPU spikes
  • Includes 4 native 12VHPWR / PCIe 5.0 cables (2 per PSU) eliminating 8-pin adapter clutter
  • 94% conversion efficiency cuts data-center AC cooling overhead and backed by a 12-year warranty

Complete rackmount node specification.

Multi-unit quantities (`4× GPU`, `8× RDIMM`, `2× NVMe`, `2× PSU`) are automatically calculated in the BOM and Amazon cart link.

Subsystem SlotSelected Enterprise HardwareQtyAmazon ASINExtended PriceAmazon Associates Link
Rack ChassisChenbro RM41300-FS81 4U 8-Slot High-Airflow GPU Rackmount Server Chassis (SSI-EEB / E-ATX)1×B0859X33H9$489.99Buy on Amazon ↗
Server CPUAMD Ryzen Threadripper PRO 7975WX 32-Core 64-Thread Processor (4.0 GHz Base / 5.3 GHz Boost, Socket sTR5, 128 PCIe 5.0 Lanes)1×B0CK2ZQW2D$3,899.00Buy on Amazon ↗
Server BoardASUS Pro WS WRX90E-SAGE SE EEB Workstation/Server Motherboard (Socket sTR5, 7× PCIe 5.0 x16 Slots, Dual 10GbE, AST2600 BMC IPMI)1×B0CS6Q5PQ4$1,299.99Buy on Amazon ↗
GPU Array4× PNY NVIDIA RTX 6000 Ada Generation 48GB GDDR6 ECC Blower GPUs (192GB Total Pooled ECC VRAM)4×B0C1Q5X8M8$27,196.00 (4× $6,799.00)Buy on Amazon ↗
ECC RDIMM512GB (8× 64GB) Micron DDR5-4800 PC5-38400 Registered ECC Server Memory RDIMM (2Rx4 CL40)8×B0BM4V9R6T$2,152.00 (8× $269.00)Buy on Amazon ↗
NVMe Pool2× Micron 7450 PRO 7.68TB NVMe PCIe 4.0 Data Center SSDs (15.36TB Total Pool with Power-Loss Protection)2×B0B6C9K7W3$1,498.00 (2× $749.00)Buy on Amazon ↗
RDMA FabricNVIDIA Mellanox ConnectX-6 Dx EN Adapter Card Dual-Port 100GbE QSFP56 PCIe 4.0 x16 (MCX623106AN-CDAT)1×B08L5M8465$895.00Buy on Amazon ↗
Server PSU2× Seasonic PRIME TX-1600 1600W 80+ Titanium ATX 3.0 Power Supplies (3,200W Dual-Feed Multi-GPU Bus)2×B0B57RPQ81$1,059.98 (2× $529.99)Buy on Amazon ↗
Estimated Complete GPU Server Node Total$38,489.96Add Full Server BOM to Amazon ↗

Deploying multiple GPU nodes?
Engineer a lossless RoCEv2 fabric.

Scaling beyond a single 4-GPU server requires Priority Flow Control (PFC), Explicit Congestion Notification (ECN/DCQCN), and non-blocking 100GbE/400GbE leaf-spine switching so NCCL AllReduce collective communications never stall on TCP retransmissions.