Ahmad Bazzi on Twitter: "Torch TensorRT 8.2 by @nvidia on is now live on my YT channel right here https://t.co/JBKu8yNRi1 #nvidia #tensorrt #AI #inference #GPU #acceleration #OSS #Caffe #ONNX #CUDA #ubuntu #docker #
![Learning MNIST with GPU Acceleration - A Step by Step PyTorch Tutorial - Make Your Own Neural Network Learning MNIST with GPU Acceleration - A Step by Step PyTorch Tutorial - Make Your Own Neural Network](https://2.bp.blogspot.com/-hNBj-v6c5As/WR8UefJAFkI/AAAAAAAAAis/2KXxy8EgSSE6gsLoj6dbuQZaYnWdofrcACLcB/w1200-h630-p-k-no-nu/GPU_vs_CPU.png)
Learning MNIST with GPU Acceleration - A Step by Step PyTorch Tutorial - Make Your Own Neural Network
![Pytorch announced that it supports GPU acceleration of Apple M1 chip: training is 6 times faster and reasoning is 21 times faster Pytorch announced that it supports GPU acceleration of Apple M1 chip: training is 6 times faster and reasoning is 21 times faster](https://img.inotgo.com/imagesLocal/202205/19/202205191532186702_0.png)
Pytorch announced that it supports GPU acceleration of Apple M1 chip: training is 6 times faster and reasoning is 21 times faster
Andrew Ferguson on Twitter: "Anyone have any experience good or bad running PyTorch on the new Apple M1 chip?" / Twitter
![Pytorch realizes GPU acceleration of Apple M1 chip: the training speed is improved by 7 times and the maximum performance is improved by 21 times Pytorch realizes GPU acceleration of Apple M1 chip: the training speed is improved by 7 times and the maximum performance is improved by 21 times](https://img.inotgo.com/imagesLocal/202205/20/202205201944355223_0.png)