Share this article

Improve this guide

Data scientists can now leverage NVIDIA CUDA on WSL

2 min. read

Updated onOctober 4, 2023

updated onOctober 4, 2023

Share this article

Improve this guide

Read our disclosure page to find out how can you help Windows Report sustain the editorial teamRead more

Key notes

Windows 10 Insider Previewbuild 20150hit the Dev Channel (formerly Fast ring) already. It brought a couple of features that may later go live with build 21H1, although nobody can tell that for sure. But if you’re a data scientist, the build introduces something that may interest you—NVIDIA CUDA on WSL 2.

NVIDIA CUDA on WSL goes to public preview

NVIDIA CUDA on WSL goes to public preview

Microsoftannouncedthat it teamed up with NVIDIA to deliver a tool that facilitates GPU accelerated ML training within the Windows Subsystem for Linux.Windows 10 insidersin the Dev Channel and members of the NVDIA Developer Program can access the feature.

This preview includes support for existing ML tools, libraries, and popular frameworks, including PyTorch and TensorFlow. As well as all the Docker and NVIDIA Container Toolkit support available in a native Linux environment, allowing containerized GPU workloads built to run on Linux to run as-is inside WSL 2.

The deployment of NVDIA CUDA on WSL 2 should spark interest amongWindows 10users in the field of artificial intelligence. It enables data scientists to leverage GPU-accelerated deep learning (DL) on Microsoft Windows platforms.

NVIDIA developed CUDA to power parallel computing on devices that utilize the company’s graphics processing units. The technology enables developers to accelerate compute-intensive applications, such as ML training, by leveraging the power of GPUs, in addition.

So, with CUDA onWSL, your compute applications can get the most out of NVIDIAgraphics cardsand PCs powered by GPUs.

Besides CUDA programming support, you can now work with TensorFlow, MXNet, PyTorch, and other DL frameworks within WSL 2. Open source software libraries like RAPIDS are also available to you.

With GPU compute support coming to WSL 2, data scientists should be getting ML training results much faster going forward.

Are you an AI enthusiast or professional eager to explore NVIDIA CUDA on WSL 2? You can share your thoughts or expectations via the comments section below.

[wl_navigator]

More about the topics:preview build,Windows Insider Program

Don Sharpe

Tech Journalist

Don has been writing professionally for over 10 years now, but his passion for the written word started back in his elementary school days. His work has been published on Livebitcoinnews.com, Learnbonds.com, eHow, AskMen.com, Forexminute.com, The Writers Network and a host of other companies.

User forum

0 messages

Sort by:LatestOldestMost Votes

Comment*

Name*

Email*

Commenting as.Not you?

Save information for future comments

Comment

Δ

Don Sharpe

Tech Journalist

Don has been writing professionally for over 10 years now, simplifying the tech universe for the mases.