TESLA GPU ACCELERATORS FOR SERVERS
Run your most demanding scientific models on NVIDIA® Tesla® GPU Accelerators. Based on the NVIDIA Kepler™ Architecture, Tesla GPUs are designed to deliver faster, more efficient compute performance.
With the introduction of Tesla K40 GPU Accelerators, you can run big scientific models on its 12GB of GPU accelerator memory, capable of processing 2x larger datasets and ideal for big data analytics. It also outperforms CPUs by up to 10x with its GPU Boost feature, converting power headroom into user-controlled performance boost. Try a Tesla K40 GPU today for free.
- Download the Tesla Kepler Family Product Overview (PDF 742KB)
Select the Right Tesla GPU
|Features||Tesla K40||Tesla K20X||Tesla K20||Tesla K10|
|Number and Type of GPU||1 Kepler GK110B||1 Kepler GK110||2 Kepler GK104s|
|Peak double precision floating
|1.43 Tflops||1.31 Tflops||1.17 Tflops||0.19 Tflops|
|Peak single precision floating
|4.29 Tflops||3.95 Tflops||3.52 Tflops||4.58 Tflops|
|Memory bandwidth (ECC off)||288 GB/sec||250 GB/sec||208 GB/sec||320 GB/sec|
|Memory size (GDDR5)||12 GB||6 GB||5 GB||8 GB|
|CUDA cores||2880||2688||2496||2 x 1536|
* Note: Tesla K10 specifications are shown as aggregate of two GPUs. With ECC on, 6.25% 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.
DRIVERS and Supported Operating SystemsDrivers are available at NVIDIA Driver Downloads. NVIDIA recommends getting drivers for Tesla products from system OEMs.
Tesla server products are supported under:
- Windows Server 2012, 2008 R2 and 2008 64-bit (all editions)
- Linux 64-bit
- RHEL 5.4 Server
- Ubuntu 9.10 Server
- RHEL 4.8 Server
- SLES 11
NVIDIA knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the GPU computing forums.
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 M-Class GPU modules (PDF 413 KB)||Tesla S1070-400 system (PDF 258 KB)||Tesla S870 1U system (PDF 13.4 MB)|
|Tesla S1070-500 1U system (PDF 259 KB)|
|Tesla M1060 GPU module|