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Workstations optimized for TensorFlow. Build and train machine-learning models with ease. Work faster, wait less.

TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks. It is used for both research and production at Google.‍ TensorFlow was developed by the Google Brain team for internal Google use. It was released under the Apache License 2.0 on November 9, 2015.

The computers listed below are best for TensorFlow because they all meet or exceed these system requirements…

System Requirements:

  • GPU: nVidia GPU card with CUDA compute capability 3.5 or higher
  • Software Systems: nVidia GPU drivers CUDA 10.1 418.x or higher, CUDA Toolkit TensorFlow supports CUDA 10.1, CUPTI, cuDNN SDK