TensorFlow is an open source software library for machine learning across a range of tasks, and developed by Google to meet their needs for systems capable of building and training neural networks to detect and decipher patterns and correlations, analogous to the learning and reasoning which humans use.
This application relies heavily on the GPU to perform calculations, therefore a processor with a low core count and low clockspeed is acceptable.
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.
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.
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.
Running additional applications on this system?
The recommended components and configurations provided on this page are specific to this software. If you plan on running other applications, please view our recommendations for them as well and choose a configuration that best suits the needs of the application requirements collectively. Feel free to contact us for further assistance.