TESLA GPU ACCELERATORS FOR SERVERS
Accelerate your scientific and technical computing with NVIDIA® Tesla® GPU Accelerators. Now developers and researchers can enjoy faster performance and more accessibility with the latest generation of Tesla GPUs based on NVIDIA Kepler™, the world's fastest and most efficient high performance computing architecture. Try the NVIDIA® Tesla K20 GPU accelerators and speed up your application by up to 10X. Learn more by reading the K20-K20X Benchmark Report. (PDF 503KB) 
Experience the speedup your application will achieve with Tesla K20 GPU Accelerators by taking a free test drive on a remote cluster. Sign up for the test drive today.
Select the Right Tesla GPU
| Features |
Tesla K20X |
Tesla K20 |
Tesla K10 |
Tesla M2090 |
Tesla M2075 |
| Number and Type of GPU |
1 Kepler GK110 |
2 Kepler GK104s |
1 Fermi GPU |
1 Fermi GPU |
| GPU Computing Applications |
Seismic processing, CFD, CAE, Financial computing, Computational chemistry and Physics, Data analytics, Satellite imaging, Weather modeling |
Seismic processing, signal and image processing, video analytics |
Seismic processing, CFD, CAE, Financial computing, Computational chemistry and Physics, Data analytics, Satellite imaging, Weather modeling |
| Peak double precision floating point performance |
1.31 Tflops |
1.17 Tflops |
190 Gigaflops
(95 Gflops per GPU) |
665 Gigaflops |
515 Gigaflops |
| Peak single precision floating point performance |
3.95 Tflops |
3.52 Tflops |
4577 Gigaflops
(2288 Gflops per GPU) |
1331 Gigaflops |
1030 Gigaflops |
| Memory bandwidth (ECC off) |
250 GB/sec |
208 GB/sec |
320 GB/sec
(160 GB/sec per GPU) |
177 GB/sec |
150 GB/sec |
| Memory size (GDDR5) |
6 GB |
5 GB |
8GB
(4 GB per GPU) |
6 GigaBytes |
6 GigaBytes |
| CUDA cores |
2688 |
2496 |
3072
(1536 per GPU) |
512 |
448 |
* Note: With ECC on, 12.5% of the GPU memory is used for ECC bits. For example, 6 GB total memory yields 5.25 GB of user available memory with ECC on.
Tesla SOFTWARE AND DRIVERS
NVIDIA recommends getting drivers for Tesla products from system OEMs. Please visit the NVIDIA Driver Downloads page for Tesla drivers.
Tesla products are supported under
- Windows Server 2008 and 2008 R2 (all editions), 64-bit
- Windows 7 Support (Tesla M2070Q Only)
- Linux 32-bit and 64-bit
- RHEL 5.4 Server
- Ubuntu 9.10 Server
- RHEL 4.8 Server
- SLES 11
Tesla HARDWARE SUPPORT
Knowledgebase
NVIDIA 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.
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