From 405e27197757f545457fb0bd8e049666ffd6b40c Mon Sep 17 00:00:00 2001 From: Philip Turner Date: Tue, 2 Aug 2022 00:02:31 -0400 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1eb034c4..ca54885f 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ This repository does not currently run local Jupyter notebooks, but the v3.0 rel --- -Since [swift-jupyter](https://github.com/google/swift-jupyter) went unmaintained, Swift-Colab became the dominant "source of truth" for Jupyter notebook support. It's well-maintained and receives a high volume of internet traffic. Some users have tried running `install_swift.sh` on personal computers, with limited success. People will probably continue doing this despite the existence of [liuliu/swift-jupyter](https://github.com/liuliu/swift-jupyter). Furthermore, the repo's maintainer has a motive for supporting [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/) (but not for supporting Docker\*). +Since [swift-jupyter](https://github.com/google/swift-jupyter) went unmaintained, Swift-Colab became the dominant "source of truth" for Jupyter notebook support. It's well-maintained and receives a high volume of internet traffic. Some users have tried running `install_swift.sh` on personal computers, with limited success. People will probably continue doing this despite the existence of [liuliu/swift-jupyter](https://github.com/liuliu/swift-jupyter). Furthermore, Swift-Colab's maintainer has a motive for supporting [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/) (but not for supporting Docker\*). Local environments have faster CPUs than virtual machines, compiling Swift packages more quickly than Google Colaboratory. They can store data persistently, bypassing the bottleneck of Swift for TensorFlow's excessively long build time. Furthermore, they permit using your personal computer's GPU for machine learning (only with NVIDIA/CUDA an upcoming S4TF backend will support any Metal or OpenCL-capable GPU).