GPU Server Chassis
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High-Performance GPU Server Cases for Mining Rigs and 8-Bay Hot-Swap Solutions, offering robust and efficient performance.
The GPU Server Case can accommodate several GPUs, which enhances the processing capability in AI, machine learning, and crypto mining. It has additional cooling measures so that it can handle more processing than in its basic form, affording the buyers more performance and flexibility for future upgrades.
Features of Our GPU Server Cases
- Various sizes: 4U to 10U
- Durable SGCC steel construction
- Multiple hot-swappable drive bays
- Advanced cooling: multiple high-capacity fans
- Redundant power supply options
- Supports E-ATX to Micro ATX motherboards
- High GPU capacity: up to 10 GPUs
What are you interested in?
GPU Server Case With Similar Properties - Customizable GPU chassis
4U GPU Server Case Model OCG4715-4H8-GD
Supports 4 GPUs, efficient cooling, CRPS power, Supermicro motherboard compatibility.
5U GPU Server Case Model OCG5880-5H4-L
5U GPU Server Case model OCG5880-5H4-L: E-ATX support, holds five 4090 GPUs, CRPS power, customizable, efficient cooling, side handles.
6U GPU Server Case
447x860x265mm, 1.0mm SGCC steel, 4 SATA/SAS hot-swap trays, E-ATX/ATX/Micro ATX support, 8 GPUs, 3x120mm & 5x80mm cooling fans.
8U GPU Server Case Model OCG5800-8H4-L
High-performance, scalable; ideal for Aleo mining, deep learning, AI, scientific computing, data analytics.
8U GPU Server Case Model OCG4760Y-8H8-H
8U GPU Server Case Model OCG4760Y-8H8-H: High-performance, scalable; ideal for Aleo mining, deep learning, AI, scientific computing, data analytics.
8U GPU Server Case Model OCG700-W
OCG700-W 8U GPU Server Case: 8 GPU support, military-grade capacitors, 4000 rpm cooling, energy-saving, non-riser installation.
9U GPU Server Case Model OCG4885-9H12-T
9U GPU Server Case Model OCG4885-9H12-T: EMC standards, PEX backplane, CRPS power, robust ventilation.
10U GPU Server Case Model OCG9800-10H4-L
OCG9800-10H4-L GPU Server Case: E-ATX support, holds ten 4090 GPUs, CRPS power, customizable, superior ventilation, side handles.
GPU Server Case Models: Key Parameter Comparison
Product Images | Model | Dimensions (mm) | Material | Drive Bays | Cooling Fans | Power Supply | Motherboard Support | PCIe Slots | GPU Support | Front IO | Application | Product Links |
---|---|---|---|---|---|---|---|---|---|---|---|---|
4U OCG4715-4H8-GD | 715x435x176 | 1.2mm SGCC Steel | 8 x 3.5" SAS/SATA | 3 x 120mm, 2 x 80mm | CRPS Redundant | Supermicro X10DRG-Q | 11 Full-height | Up to 4 GPUs | 2 x USB 3.0 | N/A | View Product | |
5U OCG5880-5H4-L | 483x880x220 | 1.0mm SGCC Steel | 4 x 3.5" SAS/SATA | 6 x 120mm | 4 x 1600W CRPS | E-ATX | 5 x PCIe 3.0 x16 | Up to 5 GPUs | 2 x USB 3.0 | N/A | View Product | |
6U | 447x860x265 | 1.0mm SGCC Steel | 4 x 3.5" SAS/SATA | 3 x 120mm, 5 x 80mm | 4 x 1600W CRPS | E-ATX/ATX/Micro ATX | 8 x PCIe 3.0 x16 | Up to 8 GPUs | 2 x USB 3.0 | Cloud Storage/Computing | View Product | |
8U OCG5800-8H4-L | 483x880x220 | 1.0mm SGCC Steel | 4 x 3.5" SAS/SATA | 6 x 120mm | 4 x 1600W CRPS | E-ATX/ATX/Micro ATX | 8 x PCIe 3.0 x16 | Up to 8 GPUs | 2 x USB 3.0 | Cloud Storage/Computing | View Product | |
9U | 437.5x885x176.5 | 1.2mm SGCC Steel | 12 x 3.5" SAS/SATA | 3 x 120mm, 8 x 80mm | 4 x 2000W CRPS | E-ATX/ATX/Micro ATX | 10 x PCIe 3.0 x16 | Up to 9 GPUs | 2 x USB 3.0, 2 x USB 2.0 | Cloud Storage/Computing | View Product | |
10U OCG9800-10H4-L | 800x445x400 | 1.0mm SGCC Steel | 4 x 2.5" NVME | 6 x 120mm, 6 x 120mm | 4 x 1600W CRPS | E-ATX | 10 x PCIe 3.0 x16 | Up to 10 GPUs | N/A | N/A | View Product | |
Liquid-Cooled GPU Server Case Model OCG4645-8G | L(645)* W(435)*H(176)mm,without handle | 1.0-1.2 mm SGCC | 2* SATA SSD 480GB, 2.5″,SATA3(6Gbps) | Smart water cooling kit | 2000W*5 | AMD dual-channel 8 GPU platform | N/A | 8 GPU Cards | 2 x USB 3.0, 2 x USB 2.0 | Cloud Storage/Computing | View Product |
Applications in AI and Machine Learning
GPU servers are essential in developing technologies, particularly AI and machine learning, as they increase processing power and allow for complex calculations. These server cases are configured to support several GPUs necessary to speed up computational tasks that AI environments need. Below is an outline of their inclusions in AI and machine learning:
Deep Learning and Neural Network Training
GPU server cases are specifically designed for deep learning tasks, especially on large datasets when a neural network is being trained. With lots of parallel processing, GPU can speed up the process of training models and hence increase the efficiency of researchers and developers.
Complex Data Analysis
In machine learning, making sense of large volumes of data is the center focus. GPUs have the required power to effectively analyze complex algorithms, resulting in faster and more accurate analysis of wide data sets.
Real-Time Data Processing
This is particularly important for applications such as autonomous vehicles, robotics, or real-time video analytics. With the speed and efficiency offered by the GPU server cases, data can be processed as it is being captured, minimizing delays in decision-making in real-time situations.
Natural Language Processing (NLP)
The considerable processing capabilities provided by GPU server cases improve a wide range of procedures, such as sentiment analysis, language translation, and speech recognition. Such cases enhance the characteristics of NLP models by allowing parallel working with multiple data streams.
Enhanced Research and Development:
As is always the case in AI research, there is a need to try out quite several models and algorithms. Such GPU server cases have dynamic and scalable features, enabling many models to be tested simultaneously in AI systems, thus increasing the speed of change and advancement of AI technologies.
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