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| Product Overview |
|---|
The Lenovo NVIDIA Tesla K20X is a specialized GPU aimed at scientific computing and professional workloads. It provides robust parallel processing capabilities and integrates into server environments to enhance computational efficiency without focusing on consumer graphics tasks. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 90Y2351 |
| Alternate Part Number | 90Y2351-03-CT |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 732 MHz |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | DirectX 11, OpenGL: 4.5, OpenCL, CUDA, Shader Model: 5.1, DirectCompute |
| Output Interface | None (compute accelerator, no display outputs) |
| Suggested PSU | 600W |
| Memory | |
|---|---|
| Memory Size | 6GB |
| Interface | GDDR5 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | 2-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
This Lenovo NVIDIA Tesla K20X graphics card is designed to accelerate complex computational workloads rather than traditional gaming graphics. It is often found in high-performance computing clusters and scientific research environments where parallel processing power is essential. Built for professionals in fields like physics simulations, data analytics, and deep learning, it helps speed up calculations and modeling tasks. Key Features
This graphics card is typically deployed in research institutions, data centers, and engineering firms where simulation and calculation speed are critical. Its role in these settings is to offload intensive computations from CPUs, making complex tasks more efficient and reducing overall processing time. |
| Use Cases |
|---|
The 90Y2351 Lenovo NVIDIA Tesla K20X is utilized in fields that require substantial GPU acceleration and parallel processing power. How It's Used:
This card is ideal for professionals and organizations aiming to improve computational speed and efficiency in demanding environments. |