Our recommended workstations for Machine Learning using TensorFlow
Workstation PCs optimized for Machine Learning / Deep Learning with 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…
GPU: nVidia Geforce 3050 or higher
Processor: Intel i5-13400f or AMD Ryzen 5 7600x or higher
Software Systems: nVidia GPU drivers CUDA 10.1 418.x or higher, CUDA Toolkit TensorFlow supports CUDA 10.1, CUPTI, cuDNN SDK