How to Daisy Chain your Macbook Pro for Machine Learning
Apple introduced interestingly 16" inch Macbook Pro in today’s event at October hardware event. The touchbar vanished by adding functional keys in place of the touchbar. Event more interesting adds HDMI port in place of Thunderbolt ports including the SD card bringing back retro upgrades. I have had HDMI ports, Magsafe charging port, USB ports, and Thunderbolt port in the older machines.
Apple powered the all-new MacBook Pro 14" inch and 16" inch with new chips M1 Pro and M1 Max that feature up to a 10-core CPU, 32-core GPU, and 64GB of unified memory.
Apple promises 70% improvement of performance from M1 Pro and M1 Max over 2020’s M1 chip, which should be taking running deep learning with TensorFlow to the next level with the type of speed machine learning engineers can experience. Take a look at TensorFlow macOS fork at Github repository. You can now run TensorFlow native code on MacOS. Convolutional neural networks and recurrent neural networks training should run much faster than from 2020’s chip. Since, it’s only released today, I haven’t gotten the deep learning benchmarks for Intel chip vs M1 Pro and M1 Max yet. I will update those later here. All…
