
NVIDIA® Tesla™ C2050 / 2070 Computing Processor enables the transition to parallel computing and brings the performance of a small cluster to the desktop.
Features
| GPU powered by the massively parallel CUDA architecture | Transform your workstation to perform like a small cluster at 1/20th the power consumption and 1/10th the cost. |
| CUDA programming environment with broad support of programming languages and APIs | Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and take advantage of the “Fermi” GPU’s innovative architecture. |
| Scale to multiple GPUs and harness the performance of a small server cluster | Solve large-scale problems faster than a small server cluster on a single workstation with multiple GPUs. |
| IEEE 754 single and double precision floating point units | Achieve up to 600 Gigaflops of double precision performance for faster and more accurate results. |
| ECC Support | Offers protection of data in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory, and DRAM all are ECC protected |
| Up to 6GB GDDR5 compute memory | Allows faster access to larger data sets. |
| NVIDIA® Parallel DataCache™ Technology | Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand. |
| NVIDIA® GigaThread™ Engine | Maximizes throughput with faster context switching, concurrent kernel execution, and improved thread block scheduling. |
| Asynchronous transfer capability | Turbo charges system performance by overlapping data transfers with computation. |
| High Speed , PCIe Gen 2.0 Data Transfer | Fast and high-bandwidth communication between CPU and GPU. |
To download the C2050/C2070 Product Brief - please click here.
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