• What is GPU Computing
  • GPU Applications
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Servers and Workstations
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Server Solutions
WorkStation Solutions
Where to Buy

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.

Accelerate Your Code

Test drive a Tesla K40 GPU
Accelerator >
Accelerate Your Code


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
Tesla K20


Drivers are available at NVIDIA Driver Downloads. NVIDIA recommends getting drivers for Tesla products from system OEMs.

Tesla workstation products are supported under:

  • Windows 8, Windows 7 (64-bit)
  • Linux 64-bit
  • Fedora 18
  • Ubuntu 10.04 (and up)
  • RHEL 5.5 (and up)
  • OpenSUSE 12.2
  • SLED 11


NVIDIA 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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