GitHub - apple/tensorflow_macos: TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
![Installing TensorFlow 2.4 on MacOS 11.0 without CUDA for both Intel and M1 based Macs | by Chirag Daryani | DataDrivenInvestor Installing TensorFlow 2.4 on MacOS 11.0 without CUDA for both Intel and M1 based Macs | by Chirag Daryani | DataDrivenInvestor](https://miro.medium.com/max/600/1*__qgmBIfEQ0qKXMWooxWjw.jpeg)
Installing TensorFlow 2.4 on MacOS 11.0 without CUDA for both Intel and M1 based Macs | by Chirag Daryani | DataDrivenInvestor
Installing Tensorflow on Apple M1 With the New Metal Plugin | by Nikos Kafritsas | Better Programming
![Installing TensorFlow 2.4 on MacOS 11.0 without CUDA for both Intel and M1 based Macs | by Chirag Daryani | DataDrivenInvestor Installing TensorFlow 2.4 on MacOS 11.0 without CUDA for both Intel and M1 based Macs | by Chirag Daryani | DataDrivenInvestor](https://miro.medium.com/max/1400/1*PkWN5odWJnnzK7gN-o5VKg.png)
Installing TensorFlow 2.4 on MacOS 11.0 without CUDA for both Intel and M1 based Macs | by Chirag Daryani | DataDrivenInvestor
![AI - Apple Silicon Mac M1/M2 natively supports TensorFlow 2.10 GPU acceleration (tensorflow-metal PluggableDevice) | MakeOptim AI - Apple Silicon Mac M1/M2 natively supports TensorFlow 2.10 GPU acceleration (tensorflow-metal PluggableDevice) | MakeOptim](https://makeoptim.com/assets/img/deep-learning/tensorflow-metal/2.png)
AI - Apple Silicon Mac M1/M2 natively supports TensorFlow 2.10 GPU acceleration (tensorflow-metal PluggableDevice) | MakeOptim
GitHub - deganza/Install-TensorFlow-on-Mac-M1-GPU: Install TensorFlow in a few steps on Mac M1/M2 with GPU support and benefit from the native performance of the new Mac Silicon ARM64 architecture.
![Nvidia eGPU + MacOS + TensorFlow-GPU? The Definitive Setup Guide to Avoid Headaches | by Uxío Piñeiro | xplore.ai | Medium Nvidia eGPU + MacOS + TensorFlow-GPU? The Definitive Setup Guide to Avoid Headaches | by Uxío Piñeiro | xplore.ai | Medium](https://miro.medium.com/max/1400/1*WEfCQtWK33BeJjiMZ7A9OA.jpeg)