TensorFlow

Processor

This application relies heavily on the GPU to perform calculations, therefore a processor with a low core count and low clockspeed is acceptable.

Graphics

The RTX 2080Ti has become the defacto graphics card for deep learning and TensorFlow offsets all the computing of data to the GPU. For maximum performance, recommend two NVIDIA GeForce RTX 2080Ti graphics cards.

Need even more graphics processing power? Contact us to learn more about adding an external GPU expander, which allows for up to 4 additional graphics cards.

Storage

This application relies more on reading data than writing data as it analyzes and processes training datasets. Extreme read rates are not required however, therefore we recommend a 512GB SSD for the operating system and program files. Furthermore, because deep learning requires large datasets to be processed, storing this data locally is important. Therefore a 4TB, 6TB or 8TB hard drive (or multiple hard drives) is recommended depending on your storage needs.

Memory

Benchmarks indicate that TensorFlow performs best when the amount of system memory is double (or more) the graphics card memory. So if you have one RTX 2080Ti card (which is 11GB), then we recommended 24GB RAM. If you have two RTX 2080Ti cards (22GB), then we recommended 48GB RAM.