4U GPU Server Case Model OCG7850-10H4-C
High-Performance 4U GPU Server Chassis for AI, HPC, and Data Analytics
The OCG7850-10H4-C is a highly durable and expandable 4U server chassis, designed to meet the rigorous demands of modern computing environments. Built with 1.0mm SGCC steel and dimensions of 850 mm x 438.4 mm x 310 mm, this chassis provides a secure and robust foundation for high-performance servers. It is ideal for applications in artificial intelligence, data analytics, and high-performance computing, offering exceptional flexibility in storage, power, and cooling to efficiently handle complex workloads.
Key Features:
- Massive GPU Acceleration: Fully compatible with up to 10 double-width GPUs, this chassis supports standard EEB and quad-GPU motherboards, making it perfect for AI training, rendering, and other parallel processing tasks.
- Flexible Hot-Swappable Storage: Includes four 3.5″/2.5″ front-facing hot-swappable drive bays with a versatile backplane that supports SATA, SAS, and NVME interfaces, ensuring high-speed data access and scalable storage.
- Advanced Cooling System: Features four 8038 hot-swappable fan modules at the front and eight at the rear, with an optional front GPU tray supporting three additional 12038 fans. This ensures optimal airflow for sustained peak performance.
- Redundant Power Supply Options: Supports CRPS modules ranging from 800W to 2700W in a 4+1 redundant configuration, ensuring high availability and system stability for mission-critical applications.
- Extensive Customization: Offers options for custom logos, drawer box colors, OEM packaging materials, and full ODM exterior design, allowing you to tailor the chassis to your brand and specific requirements.
- User-Friendly Front Panel: Equipped with essential controls and indicators, including Power and Reset buttons, LEDs for power status, hard drive activity, and dual network activity, along with two USB 2.0 ports for easy access.
Specification
| Specification | |
| Chassis Model | OCG7850-10H4-C |
| Dimensions | D850*W438.4*310mm |
| Material | SGCC 1.0mm |
| Front Panel | Buttons: Power on/off, Reset LEDs: Power status indicator, Hard drive indicator, Information indicator, Network 1 indicator, Network 2 indicator 2 x USB 2.0 |
| Storage Support | Supports 4 x 3.5″/2.5″ hot-swappable hard drives |
| PCI-e Expansion | The front supports 5×4 fan cards and is compatible with up to 10 double-width cards. The rear supports 5×4 fan cards and is compatible with up to 10 double-width cards. Graphics card size requirements: Width supports 4×4, length up to 360mm, and height no more than 142mm (additional height cover required to install cards exceeding this height). |
| System Fan | The front panel supports 4 x 8038 hot-swappable fan modules, each with a vibration damper. The rear panel supports 8 x 8038 hot-swappable fan modules, each with a vibration damper. The front GPU tray PCIe slot supports 3 x 12038 fans (optional). |
| Backplane | 4 x 3.5″/2.5″ SATA/SAS/NVME backplanes |
| Power Supply | Supports CRPS 800W/1300W/1600W/2000W/2700W 4+1 redundant power supplies |
| Motherboard | 1. Supports standard EEB motherboards and quad-GPU motherboards. 2. Supports the Aeon 4th-generation INTEL motherboard SP2C741D32G-2L (optional). 3. Other motherboards can be customized based on customer needs. |
| Packaging | Professional double-layer packaging (blank inner box + customizable outer box) |
| Label | Reserved space for logo and product information label |
| Environmental Specifications | Operating temperature: 10°C to 35°C (41°F to 95°F) Operating relative humidity: 8% to 90% (non-condensing) |
| Optional | |
| Items | Description |
| Rack rails | Supporting rack guide rail; |
| Customization | Customizable logos, drawer box colors, OEM packaging materials, and ODM exterior design are all supported. |
Application Areas of the OCG7850-10H4-C GPU Server Chassis
- Artificial Intelligence (AI) & Machine Learning (ML): Provides the GPU density and cooling required for deep learning model training, inference, and complex neural network computations.
- High-Performance Computing (HPC): Ideal for scientific research, engineering simulations, financial modeling, and other computationally intensive tasks that demand massive parallel processing capabilities.
- Big Data & Analytics: Combines powerful processing support with flexible, high-speed storage, making it perfect for real-time data analysis and managing large datasets.
- Data Centers & Cloud Computing: Ensures reliability and uptime with redundant power supplies and hot-swappable components, making it a dependable choice for virtualization, private cloud infrastructure, and enterprise-level services.
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