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| Product Overview |
|---|
The NVIDIA Tesla C2075 is a specialized GPU designed to speed up parallel computing tasks, especially in scientific and engineering contexts. It fits into PCI Express 2.0 x16 slots and provides substantial memory and bandwidth, making it suited for high-precision calculations in research and professional environments. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-21030-0020-100 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 1150 MHz (shader clock) |
| Bus Interface | PCI Express 2.0 x16 |
| Supported APIs | DirectX 11, OpenGL: 4.5, OpenCL, CUDA, DirectCompute |
| Suggested PSU | 600W |
| Power Connectors | 6-pin PCIe,6-pin PCIe |
| Memory | |
|---|---|
| Memory Size | 6GB |
| Interface | GDDR5 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot,Full Height |
| Weight | 5.00 |
| 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 NVIDIA Tesla C2075 is a graphics card built for demanding computational tasks beyond typical rendering. It is often found in workstations and servers used for scientific simulations, engineering calculations, and data analysis. Engineered for researchers, engineers, and developers who require reliable GPU acceleration, this card accelerates parallel processing workloads efficiently. Instead of gaming, its focus lies in supporting complex calculations and large datasets. Key Features
This card is typically deployed in research labs, universities, and industrial environments where GPU computing enhances simulations or processing pipelines. It helps reduce computation times and improve efficiency for complex tasks. By offloading parallel workloads from the CPU, the Tesla C2075 plays a key role in accelerating software tools used in physics, chemistry, and other technical fields. |