Tesla

  • CUDA AND GPU COMPUTING
  • GPU APPLICATIONS
  • GPUS FOR SERVERS AND WORKSTATIONS
Why Choose Tesla GPUs
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TESLA GPU ACCELERATORS
FOR WORKSTATIONS

Get cluster level performance right at your desk with NVIDIA® Tesla® GPU Accelerators, based on the NVIDIA Kepler™ Architecture.

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. It also outperforms CPUs by up to 10x with its GPU Boost feature, converting power headroom into user-controlled performance boost. Solve complex computational problems quickly and efficiently with the Tesla K40 GPU for workstations, right from your desk.

 

TESLA GPUS FOR WORKSTATIONS

Feature Tesla K40 Tesla K20
Peak double precision floating point performance 1.43 Tflops 1.17 Tflops
Peak single precision floating point performance 4.29 Tflops 3.52 Tflops
Memory bandwidth (ECC off) 288 GB/sec 208 GB/sec
Memory size (GDDR5) 12 GB 5 GB
CUDA cores 2880 2496

Run your GPU-accelerated
code faster

Test Drive a Tesla K80 GPU
Accelerator.
 
 
 
 

Tesla K20

Buy now

 
 

SUPPORTED OPERATING SYSTEMS

A complete list of supported operating systems is available at:



 

LEGACY TESLA GPUs

Tesla 20-series GPUs
> Tesla C2075 GPU computing processor (PDF 1.50 MB) Adobe PDF icon
> Tesla C2050 / C2070 GPU computing processor (PDF 227 KB) Adobe PDF icon

TESLA GPU 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 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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