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.
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.
SUPPORTED OPERATING SYSTEMSA complete list of supported operating systems is available at:
LEGACY TESLA GPUs
Tesla 20-series GPUs
> Tesla M-Class GPU modules
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