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4U GPU Chassis

OCG4U530A-L

Versatile 4U rack-mounted GPU server chassis engineered for AI computing, deep learning, and high-performance computing, supporting up to 4 full-length GPUs.

Technical Specifications

Chassis Style
Rack-mounted
Chassis Structure
4U Rackmount chassis, 4U GPU server chassis
Chassis Size
L530 × W435 × H177mm (482mm with mounting ears)
Main Material
SGCC 1.0mm (galvanized steel plate)
Panel Interface
1 power switch, 1 restart switch, network indicator light, system fault light, 2 × USB 3.0
Cooling System
Standard 3 × 12038 air chambers, 2 × 8038 fans
Motherboard Position
15″ × 13″ / EATX (12″ × 13″) / CEB (12″ × 10.5″) / ATX (12″ × 9.6″) / Micro-ATX (9.6″ × 9.6″)
Power Position
1+1 redundant power supply
Hard Disk Position
4 × 3.5″ HDD, 2 × 2.5″ HDD/SSD
Expansion Slot
11 × full-height PCI/PCIe expansion slots
Packing Method
Chassis + PE bag + pearl cotton + accessory box + carton
Package Size
L660 × W540 × H270mm
Overall Gross Weight
14 kg
The OCG4U530A-L is a powerful and versatile 4U rack-mounted GPU server chassis, engineered for AI computing, deep learning, and high-performance computing (HPC). With support for up to 4 full-length GPUs, a redundant power supply, and 11 PCIe expansion slots, this chassis provides exceptional scalability and stability for data centers, research institutions, and enterprise applications.

Why Choose the OCG4U530A-L Gpu Server Chassis?

Supports up to 4 full-length GPUs for AI, HPC, and deep learning applications ✅ 11 PCIe expansion slots for flexible system configurations ✅ Advanced cooling system to maintain optimal performance ✅ Redundant power supply for enterprise-level reliability ✅ Broad motherboard compatibility for versatile deployments ✅ Flexible storage options with support for HDDs and SSDs
The OCG4U530A-L is the ultimate 4U GPU server chassis for businesses and research institutions that need high-performance computing, scalability, and reliability. Whether for AI development, cloud computing, or big data analytics, this rack-mounted chassis is engineered to handle your most demanding workloads.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

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.

01

Platform Integration Review

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

02

Project Configuration Communication

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

03

OEM / ODM Discussion

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

04

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.