- What are the hardware requirements for machine learning project?
- How to choose a GPU for machine learning?
What are the hardware requirements for machine learning project?
A minimum of 8 GB of GPU memory is recommended for optimal performance, particularly when training deep learning models. NVIDIA GPU driver version: Windows 461.33 or higher, Linux 460.32. 03 or higher. A CPU with the Advanced Vector Extensions (AVX) instruction set.
How to choose a GPU for machine learning?
Picking out a GPU that will fit your budget, and is also capable of completing the machine learning tasks you want, basically comes down to a balance of four main factors: How much RAM does the GPU have? How many CUDA and/or Tensor cores does the GPU have? What chip architecture does the card use?