Run the command below only if you are already using Conda. I haven’t found a way to install the plugins using Conda yet. I am using a Conda environment by default, so I had to first deactivate it. That’s the only version that Apple’s plugin supports for Intel-based Macs at the time of writing.įirst, let’s open Terminal app. The steps defined Nvidia eGPU + MacOS + TensorFlow-GPU The Definitive Setup Guide to Avoid Headaches are my starting point. Python 3.8 - The only version that is supportedīefore you follow the official installation instructions, you need to have python 3.8. I do not have M1-based Mac, so I will focus on installing on Intel-based 16-inch Macbook Pro model with AMD GPU that I have. But I don’t think my short post will cover every use case and every issue, so if you find something that I miss, please let me know, and I will try to update the post accordingly.
![macbook pro gpu tensorflow macbook pro gpu tensorflow](https://photos5.appleinsider.com/gallery/33251-58082-33146-57842-graphics_radeon_vega_2_duo__f9rm9tajybu6_large_2x-l-xl.jpg)
In this post, I just want to share how I was able to install all the necessary softwares and test it on Jupyter notebook. You will also find many forum posts on various issues people have encountered.
MACBOOK PRO GPU TENSORFLOW HOW TO
In the link above, you will find the official instructions from Apple on how to install python packages to utilize your GPUs for both M1 and Intel-based Macs. free standard delivery use code: LDFSD UK mainland only.
![macbook pro gpu tensorflow macbook pro gpu tensorflow](https://dataresident.com/wp-content/uploads/2021/12/mac-vs-pc-data-science.jpg)
MACBOOK PRO GPU TENSORFLOW MAC OS
Then, I saw there was a Github repo that experimentally supported Mac GPU with Tensorflow, and only recently realized that now Apple started to support it more officially. Apple MacBook Pro M1 Pro 10-Core CPU 16-Core GPU 1TB SSD 16 Inch Mac OS Laptop Space Grey MK193B/A Quickfind code: 1664023. When it worked, it worked great, but when it didn’t, it just didn’t. I have used PlaidML to get around this issue. Most, if not all, ML frameworks only supports Nvidia GPUs. I have been very happy with my Conda virtual environment setup to do machine learning experiments locally, but as you probably already know, you cannot utilize AMD GPUs on Mac with Tensorflow. Performance benchmarks for Mac-optimized TensorFlow training show significant speedups for common models across M1- and Intel-powered Macs when leveraging the GPU for training. But, heres the rub: you can also configure the 14-inch MacBook Pro with the same M1 Max chips. I cannot take responsibility for any harm done to your computer. Training Performance with Mac-optimized TensorFlow. The MacBook Pro 16 comes with either the most powerful M1 Pro chip (10-core CPU and 16-core GPU) or an M1 Max chip with either a 10-core CPU and 24-core GPU, or a 10-core CPU and a 32-core GPU. Photo by is based on my experience and it may not work for your machine.