4U 4-GPU Barebone

4U PCIe Gen5 4-GPU Server Barebone Platform

High-performance AI computing platform supporting up to 4 × NVIDIA RTX 5090

Technical Specifications

Form Factor: 4U Rackmount
GPU Support: Up to 4GPUs
GPU Size: Triple-slots/4-slot GPUs
GPU length: 370mm
GPU Height: 178mm
PCIE: PCIe Gen5 16X
PSU: 3200W Redundant
Storage: NVMe/ SATA
Motherboard: EEB/ATX
Supported GPU: PRO6000/RTX5090/ RTX4090
Cooling fan: 4*8cm fan & 3*12cm fan
Dimensions: 102*60*31cm
Gross Weight: 29.5KG

Configuration Review

Final GPU, motherboard, PCIe, power, cooling, storage, dimensions, and accessory compatibility is confirmed for each project. Share the planned configuration with ONECHASSIS for technical review and quotation.

KEY FEATURES

Engineering Priorities for Multi-GPU Platforms

Six engineering priorities for a reliable multi-GPU platform.

01 / GPU1

GPU Density Planning

Review GPU quantity, card dimensions, slot width, and mechanical clearances.

GPU · SLOT · CLEARANCE

Discuss Configuration

02 / PCIE2

PCIe Topology Review

Confirm lane allocation, riser direction, slot mapping, and platform topology.

LANES · RISER · TOPOLOGY

Discuss Configuration

03 / POWER3

Power Architecture

Match GPU and system power requirements with the planned PSU configuration.

PSU · CABLE · DISTRIBUTION

Discuss Configuration

04 / COOLING4

Cooling Architecture

Evaluate airflow direction, fan layout, component heat loads, and deployment conditions.

AIRFLOW · FANS · THERMAL

Discuss Configuration

05 / BOARD5

Motherboard Integration

Review board format, connector position, CPU layout, memory, and expansion requirements.

BOARD · CPU · EXPANSION

Discuss Configuration

06 / RACK6

Rack & Mechanical Fit

Confirm rack height, chassis dimensions, rail direction, service access, and installation constraints.

RACK · RAIL · SERVICE

Discuss Configuration

GPU COMPATIBILITY

Confirm the Complete GPU Fit

Compatibility is validated by GPU model, dimensions, power, PCIe topology, connector layout, and cooling.

Mechanical Envelope

Confirm card length, height, slot width, bracket position, and cable clearances.

Electrical & Power

Review GPU power rating, connector type, cable routing, PSU capacity, and distribution.

PCIe Topology

Confirm lane allocation, slot mapping, riser direction, motherboard topology, and BIOS requirements.

Thermal Conditions

Review airflow direction, cooling requirements, ambient conditions, and sustained workload profile.

Request Compatibility Review

APPLICATION SCENARIOS

Designed for Multi-GPU Computing Projects

Review the platform by workload, GPU configuration, and deployment environment.

AI Training

Multi-GPU platforms for model training, fine-tuning, and compute-intensive development workflows.

AI Inference

GPU infrastructure for enterprise inference, private AI, and production deployment planning.

HPC & Research

Configurable hardware platforms for research computing, simulation, and technical evaluation.

Rendering / VFX

Multi-GPU nodes for rendering, visualization, content production, and professional graphics workloads.

Enterprise GPU Infrastructure

Platform options for system integrators, GPU cloud providers, and enterprise computing projects.

DEPLOYMENT REFERENCE CONFIGURATIONS

Plan the Platform Around the Deployment

Compare practical platform directions by GPU density, rack limits, power, and service access.

Reference patterns include GPU cloud nodes, research validation systems, and private-AI platforms. Final configurations are confirmed per project.

WHY ONECHASSIS

A B2B GPU Hardware Platform Approach

ONECHASSIS focuses on GPU barebone platform selection, configuration review, and integration discussion for professional computing projects.

Platform Integration Review

Discuss GPUs, motherboard, PCIe, power, cooling, rack format, and mechanical requirements as one platform.

Project Configuration Communication

Review required components, interfaces, deployment constraints, and questions before quotation.

OEM / ODM Discussion

Discuss project-specific chassis, platform, branding, mechanical, and integration requirements when applicable.

B2B RFQ Process

Share the intended configuration and project context so the quotation can reflect the actual hardware direction.

REQUEST QUOTE

Request a Configuration Review

Share your planned GPU, motherboard, power, cooling, and rack requirements for project review.