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About NVIDIA
NVIDIA® Tesla® GPU Accelerators turn standard PCs and workstations into personal supercomputers. Powered by NVIDIA CUDA® - the world's most pervasive parallel-computing model Tesla GPU Accelerators for workstations deliver cluster level performance right at your desk.
Kepler based Tesla GPU Accelerators are also available for servers.
| Feature | Tesla K20 | Tesla C2075 |
| GPU Computing Applications | Reservoir simulation, CAE (structural analysis), Molecular dynamics, Numerical analytics, Computational visualization (ray tracing), | |
| Peak double precision floating point performance | 1.17 Tflops | 515 Gflops |
| Peak single precision floating point performance | 3.52 Tflops | 1030 Gflops |
| Memory bandwidth (ECC off) | 208 GB/sec | 148 GB/sec |
| Memory size (GDDR5) | 5 GB | 6 GB |
| CUDA cores | 2496 | 448 |
NVIDIA recommends getting drivers from system OEMs. Please visit the NVIDIA Driver Downloads page for drivers.
Tesla workstation products are supported under:
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums.
RMA Requests
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the OEM or reseller that you purchased it from.
| Tesla 20-series GPUs | Tesla 10-series GPUs | Tesla 8-series GPUs |
| Tesla C2070 GPU computing processor |
Tesla C1060 GPU computing processor |
Tesla C870 GPU computing processor |
| Tesla C2050 GPU computing processor |
Tesla D870 deskside GPU computing system |