 |
Subscribe |  |
Share |
Product Info
- Main
- What is GPU Computing?
- Why Choose Tesla
- Tesla Software Features
- Tesla Workstation Solutions
- Tesla Data Center Solutions
- Tesla RS Solutions
- Tesla BIO Workbench
- CUDA-Accelerated Applications
- CUDA Training and Consulting Services
- CUDA on ARM Development Kit
- Tesla Case Studies
- Product Literature
- Compatible Platforms
- Contact Us
- Where to Buy
Software and Applications
- Software Development Tools
Programming CUDA-enabled GPUs
- Industry Software Solutions
- GPU Cloud Computing Service Providers
-
CUDA / Tesla Supercomputing Newsletter
Subscribe to the CUDA / Tesla Supercomputing Newsletter to receive regular updates about NVIDIA’s general purpose parallel computing architecture – how to leverage the GPU to solve many complex computational problems in a fraction of the time required on a CPU - as well as breaking news on NVIDIA’s Tesla Computing Solutions, and how they scale to solve the world’s most important computing challenges.
Relevant Links
Tesla Data Center Solutions
Tesla GPU Computing Solutions for Data Centers
Accelerate your science and technical computing with NVIDIA® Tesla® GPUs. A companion processor to the CPU in a server, Tesla GPUs accelerate high performance computing (HPC) applications by up to 10x. Based on the NVIDIA CUDA® GPU architecture codenamed "Fermi", Tesla 20-series GPUs feature up to 665 gigaflops of double precision performance, 1.3 teraflops of single precision performance, ECC memory error protection, and L1 and L2 caches.
Accelerate your science and technical computing with NVIDIA® Tesla® GPUs. A companion processor to the CPU in a server, Tesla GPUs accelerate high performance computing (HPC) applications by up to 10x. Based on the NVIDIA CUDA® GPU architecture codenamed "Fermi", Tesla 20-series GPUs feature up to 665 gigaflops of double precision performance, 1.3 teraflops of single precision performance, ECC memory error protection, and L1 and L2 caches.
SELECTING THE RIGHT TESLA GPU
 |
Tesla M2090 | Tesla M2075 | Tesla M2070-Q |
 Product brief
Download (412 KB PDF) |
 |
|
|
| GPGPU Performance | Highest Performance | Mid-Range Performance | Mid-Range Performance |
| GPU Computing Applications | Seismic processing, CFD, CAE, Financial computing, Computational chemistry and Physics, Data analytics, Satellite imaging, Weather modeling | ||
| Visualization Applications | N/A | N/A | CAD, CAM, CAE pre/post processing Remote desktop |
| Peak double precision floating point performance | 665 Gigaflops | 515 Gigaflops | 515 Gigaflops |
| Peak single precision floating point performance | 1331 Gigaflops | 1030 Gigaflops | 1030 Gigaflops |
| Memory bandwidth (ECC off) | 177 GBytes/sec | 150 GBytes/sec | 150 GBytes/sec |
| Memory size (GDDR5) | 6 GigaBytes | 6 GigaBytes | 6 GigaBytes |
| CUDA cores | 512 | 448 | 448 |
* Note: With ECC on, 12.5% of the GPU memory is used for ECC bits. For example, 3 GB total memory yields 2.625 GB of user available memory with ECC on.
SOFTWARE AND DRIVERS
NVIDIA recommends getting drivers for M-class products from system OEMs. Please visit the NVIDIA Driver Downloads page for the latest Tesla M-class drivers.
Tesla M-class 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
Click here to learn more about drivers and cluster management software tools for Tesla data center products.
Click here to learn more about C, C++, Fortran, and OpenCL software development tools for Tesla GPUs.
LEGACY PRODUCTS
Tesla 20-series products- Tesla M2070 and M2050 GPU modules (Product Datasheet)
- Tesla S1070-400 and Tesla S1070-500 1U systems (Product Datasheet)
- Tesla M1060 GPU module
- Tesla S870 1U system (System Specification Document)