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00FP676 Lenovo NVIDIA Tesla K40C 12GB Graphics Card
SKU:
00FP676
Weight: 3.00 lbs
Condition: Refurbished
- 12GB GDDR5 memory for high-performance computing tasks
- Based on NVIDIA Kepler architecture with 2880 CUDA cores
- Designed for scientific simulations, deep learning, and rendering
- Supports double-precision calculations for accurate results
In stock
$2,705.00
| Product Overview |
|---|
The Lenovo NVIDIA Tesla K40C features a powerful GPU tailored for compute-intensive tasks. It fits neatly into server and workstation setups where parallel processing and large memory buffers accelerate scientific and technical workloads. Rather than focusing on graphics rendering for displays, it emphasizes raw computational power to support applications across research, engineering, and data science fields. |
| General Information | |
|---|---|
| Brand | Lenovo |
| Part Number | 00FP676 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 745 MHz (base), 810 MHz (boost) |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | OpenCL, CUDA, DirectCompute |
| Output Interface | None (compute card, no display outputs) |
| Suggested PSU | 600W |
| Memory | |
|---|---|
| Memory Size | 12GB |
| Interface | GDDR5 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot (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 |
|---|
The Lenovo NVIDIA Tesla K40C graphics card is built for heavy computational workloads rather than gaming. It's commonly used in data centers, research labs, and engineering firms where processing large datasets or complex simulations is essential. Professionals in fields like machine learning, physics simulations, and 3D rendering often rely on this card to accelerate their workflows. Key Features
This card is typically seen in professional environments where GPU compute power is a key resource, such as AI research centers or engineering firms. It helps reduce processing time on demanding calculations, making it a practical choice for users needing reliable and efficient GPU compute capabilities. |
| Use Cases |
|---|
The 00FP676 Lenovo NVIDIA Tesla K40C 12GB Graphics Card is suited for environments requiring accelerated GPU computing to handle complex and large-scale tasks. How It's Used:
This graphics card enables professionals to achieve faster computation times and improved efficiency across a range of demanding applications. |
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