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  • CUDA AND GPU COMPUTING
  • GPU APPLICATIONS
  • GPUS FOR SERVERS AND WORKSTATIONS
Tesla Server Solutions
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TESLA GPU ACCELERATORS FOR SERVERS

Run your most demanding scientific models on NVIDIA® Tesla® GPU Accelerators. Based on the NVIDIA Kepler™, 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.

 

SELECTING THE RIGHT TESLA GRAPHICS CARD

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 point performance 1.43 Tflops 1.31 Tflops 1.17 Tflops 0.19 Tflops
Peak single precision floating point performance 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 SYSTEMS

Drivers 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
 

LEGACY TESLA GPUs

Tesla 20-series GPUs
> Tesla M-Class GPU modules (PDF 413 KB)  PDF

TESLA GPU HARDWARE SUPPORT

Knowledgebase
NVIDIA knowledgebase 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 GPU computing 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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