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00MW647 Lenovo SD530 Computing Node GPU Tray
SKU:
00MW647
Weight: 3.00 lbs
Condition: Refurbished
- High-density GPU tray compatible with Lenovo SD530 computing nodes
- Supports multiple GPUs for enhanced parallel processing
- Optimized for AI, deep learning, and HPC workloads
- Designed for easy integration into Lenovo server chassis
| Product Overview |
|---|
The Lenovo SD530 Computing Node GPU Tray serves as a modular expansion unit that integrates multiple GPUs into the Lenovo SD530 server platform, mainly used to boost compute power in data-heavy or parallel-processing scenarios. It fits neatly into existing server racks and supports the needs of professionals managing AI workloads, scientific computing, and other GPU-accelerated tasks. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 00MW647 |
| Alternate Part Number | 00MW647-03-CT |
| Technical Information | |
|---|---|
| Series | SD530 |
| product type | GPU Tray |
| Product Category | Server Accessories |
| Compatibility | Lenovo SD530 Computing Node |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The Lenovo SD530 Computing Node GPU Tray is built to expand the processing capabilities of Lenovo's SD530 server platform by accommodating multiple GPUs in a compact form factor. It is commonly used in data centers and research facilities where intense computational power is essential. This tray is often found in setups requiring accelerated machine learning, simulations, and complex data analysis. Key Features
Usually deployed in enterprise environments and research labs, this GPU tray helps maximize processing density and efficiency. It allows IT teams to tailor server setups to demanding applications without significantly increasing footprint or complexity. |
| Use Cases |
|---|
The 00MW647 Lenovo SD530 Computing Node GPU Tray is ideal for environments requiring enhanced graphical and computational performance. How It's Used:
By providing a robust and efficient platform for GPUs, this tray supports diverse high-performance computing applications across enterprise and research settings. |
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- Complimentary Ground shipping (for orders upto 10lbs within USA)
- Expedited Shipping Available Across the US
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