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C2075 NVIDIA Tesla C2075 6GB GDDR5 PCIe 2.0 x16 GPU Computing Processor
SKU:
C2075
Weight: 5.00 lbs
Condition: Refurbished
- 6GB GDDR5 memory for high-bandwidth computing
- 448 CUDA cores optimized for parallel processing
- Double precision floating point performance ideal for scientific calculations
- Supports PCI Express 2.0 interface for compatibility
In stock
$1,180.82
Product Overview |
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The NVIDIA Tesla C2075 is a compute-focused graphics card built to handle demanding workloads in scientific and engineering fields. It fits into systems that require robust parallel processing capabilities and high memory bandwidth for complex calculations. |
General Information |
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| Brand | Nvidia |
| Part Number | C2075 |
Technical Information |
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| Chipset | Nvidia |
| GPU Clock | 575 MHz |
| Suggested PSU | 600W recommended system PSU |
Memory |
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| Memory Size | 6GB |
| Interface | GDDR5 |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Physical Characteristics |
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| Slot Width | Dual-slot |
| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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The NVIDIA Tesla C2075 is a GPU designed specifically for high-performance computing tasks. It excels at accelerating complex computations and simulations, making it a common choice in research labs and data centers. Often found in scientific and engineering environments, this card helps professionals handle intensive workloads such as molecular modeling, data analysis, and large-scale simulations. Key Features
This GPU typically appears in supercomputing clusters and specialized compute servers where raw processing power is crucial. It helps researchers and engineers accelerate their workflows without compromising on precision or reliability. |
Use Cases |
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The NVIDIA Tesla C2075 is designed for high-performance computing environments where intensive parallel processing and precision calculations are critical. It is particularly suited for research laboratories, engineering firms, and data centers that require accelerated computational workloads for scientific simulations and data analysis. How It's Used:
By delivering robust double precision performance and substantial memory bandwidth, the Tesla C2075 enables efficient scaling of compute-intensive tasks. This supports operational efficiency in environments where accuracy and speed of calculations directly impact research outcomes and engineering design processes. |
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- Expedited Shipping Available Across the US
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