
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
| Product Overview |
|---|
The NVIDIA Tesla C2075 delivers focused computational power with 6GB of GDDR5 memory and a PCIe interface, aimed at scientific and engineering tasks. It fits well into setups requiring robust double-precision performance, helping accelerate workflows in research and high-performance computing environments. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA TESLA C2075 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe 2.0 x16 |
| Supported APIs | OpenCL, CUDA, DirectCompute |
| Output Interface | None (compute card - no display outputs) |
| Suggested PSU | 600W (system recommended) |
| Power Connectors | 2 x 6-pin PCIe |
| Memory | |
|---|---|
| Memory Size | 6GB |
| Interface | GDDR5 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
| Product Description |
|---|
The NVIDIA Tesla C2075 is a GPU designed primarily for scientific computing and complex simulations. Built for researchers and engineers, it accelerates tasks that require massive parallel processing, such as physics simulations, data analysis, and engineering computations. Often found in research labs, data centers, and high-performance computing clusters, this card is tailored to handle workloads that benefit from its high double-precision performance and large memory capacity. Key Features
In practice, the Tesla C2075 is typically deployed in environments where accuracy and speed in numerical computation are critical. It helps researchers reduce processing times while maintaining precision, making it a valuable part of many computational clusters. |