5U GPU Server Chassis for High-Performance Multi-GPU Computing

Le OCG5870A-5H4-R is a purpose-built 5U GPU server chassis engineered for professional AI computing, deep learning, and data-intensive GPU applications. Designed to accommodate up to 10 double-width GPU cards, this chassis delivers unmatched expandability, superior cooling, and robust power support, making it an ideal foundation for any GPU server deployment.

Key Features of the OCG5870A-5H4-R GPU Server Chassis

Multi-GPU Support Up to 10 Cards

The chassis supports flexible GPU configurations, including:

• 5-card RTX 4090

• 6-card double-width GPUs

• 8-card and 10-card double-width GPU setups
  This makes it ideal for tasks requiring heavy parallel GPU computing.

Flexible Motherboard Compatibility

Supports multiple motherboard form factors:

• EEB (12″ x 13″)

• CEB (12″ x 10.5″)

• ATX (12″ x 9.5″)

• MicroATX

Redundant Power Supply Architecture

Equipped with CRPS redundant power supply options:

• 4+1, 3+2, 2+2, or 3+1
  Ensures system stability for mission-critical GPU server operations.

Efficient Cooling System

Standard configuration includes:

• Front: 8 × 8038 fans

• Rear: 3 × 12038 fans
  Optional upgrade:

• Front: 8 × 8056 fans

• Rear: 5 × 8038 fans
  This ensures high airflow for thermal control in high-density GPU setups.

Scalable Storage Options

• Supports 4 × 2.5-inch SAS/SATA hot-plug or direct-plug drives
  Perfect for system boot, caching, or storage expansion.

Gen5 PCI-E Riser Cable Options

You can choose between:

• PCI-E 16X Gen5 Riser Cable

• PCI-E 16X Gen5 Riser with MCIO Cable
  Offering flexibility for various motherboard and GPU installation layouts.

Robust Construction & Materials

• Material: Baosteel SGCC 1.0–1.2mm

• Optional guide rail support

• Dimensions : 870mm × 435mm × 220mm

Applications of This Multi-GPU Server Chassis

This GPU server chassis is suitable for a wide range of industrial and research workloads:

• AI Training and Inference Servers

• Deep Learning and Neural Network Computing

• GPU-Based Rendering & Simulation Farms

• Scientific Computing and High-Performance Clusters

• Cryptocurrency Mining Rigs

• Big Data Analysis & Virtualization Environments