Скачать или смотреть Using Ubuntu on Windows 11 for TensorFlow GPU workloads

Welcome! This content is geared toward data science students who are new to hardware acceleration and want to leverage their GPU for processing TensorFlow workloads directly on their laptops. This guide assumes a recent NVIDIA GPU is installed on the Windows 11 laptop.

In this video, we walk through the process to create a Linux development environment on a Windows 11 laptop for TensorFlow GPU support. We’ll enable GPU acceleration for TensorFlow on Windows 11 using Ubuntu and the Windows Subsystem for Linux.

We’ll install the latest NVIDIA driver on Windows, install WSL2, install Linux via Ubuntu, install CUDA inside Linux, create a Python environment, install TensorFlow with GPU support, and verify the environment with a simple script.