TESLA GPU COMPUTING SOLUTIONS FOR SERVERS
Accelerate your scientific and technical computing with NVIDIA® Tesla® GPUs. Now developers and researchers can enjoy 3x more performance and more accessibililty with the latest generation of Tesla GPUs based on Kepler, the world's fastest and most efficient high performance computing architecture. If your work includes seismic processing as well as signal and image analytics, check out the Tesla K10 GPU Computing Accelerator, an ultra-efficient Kepler-based GPU designed for high throughput of large, single precision workloads.
Select the Right Tesla GPU
| Features |
Tesla K10 |
Tesla M2090 |
Tesla M2075 |
Tesla M2070-Q |
| Number and Type of GPU |
2 Kepler GK104s |
1 Fermi GPU |
1 Fermi GPU |
1 Fermi GPU |
| GPU Computing Applications |
Seismic processing, signal and image processing, video analytics |
Seismic processing, CFD, CAE, Financial computing, Computational chemistry and Physics, Data analytics, Satellite imaging, Weather modeling |
| Visualization Applications |
N/A |
N/A |
N/A |
CAD, CAM, CAE pre/post processing Remote desktop |
| Peak double precision floating point performance |
190 Gigaflops
(95 Gflops per GPU) |
665 Gigaflops |
515 Gigaflops |
515 Gigaflops |
| Peak single precision floating point performance |
4577 Gigaflops
(2288 Gflops per GPU) |
1331 Gigaflops |
1030 Gigaflops |
1030 Gigaflops |
| Memory bandwidth (ECC off) |
320 GB/sec
(160 GB/sec per GPU |
177 GBytes/sec |
150 GBytes/sec |
150 GBytes/sec |
| Memory size (GDDR5) |
8GB
(4 GB per GPU) |
6 GigaBytes |
6 GigaBytes |
6 GigaBytes |
| CUDA cores |
3072
(1536 per GPU) |
512 |
448 |
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.
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
HARDWARE SUPPORT
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.
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