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Tesla K40 - 12GB


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.


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


Drivers are available at NVIDIA Driver Downloads.

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



Peak double-precision floating point
performance (board)
1.43 Tflops 1.31 Tflops 1.17 Tflops
Peak single-precision floating point
performance (board)
4.29 Tflops 3.95 Tflops 3.52 Tflops
Number of GPUs 1 x GK110B 1 x GK110
Number of CUDA cores 2,880 2,688 2,496
Memory size per board (GDDR5) 12 GB 6 GB 5 GB
Memory bandwidth for board (ECC off)2 288 Gbytes/sec 250 Gbytes/sec 208 Gbytes/sec
Architecture features SMX, Dynamic Parallelism, Hyper-Q
System Servers and workstations Servers Servers and workstations

* Please check with your server vendor for the CPU power connector usage before turn on the server to avoid potential damage.