Need a Linux Distro for Deep Learning Applications? Try Ubuntu

Ubuntu is the most popular Linux distro and supports development in areas including artificial intelligence and machine learning.

Linux offers software developers a variety of beneficial features, including flexibility, the support of engaged communities, and cost-effectiveness, but how do you know which Linux distro is right for the applications you develop? It’s a particularly important question if you work on the cutting edge, innovating in areas like artificial intelligence (AI), machine learning (ML), and deep learning (DL). The answer to the question may be Ubuntu.

Ubuntu for In-Demand AI, ML and DL Applications

If your target market is finance, healthcare, or manufacturing, you know AI, ML, and DL solutions in demand for use cases ranging from fraud detection and cancer screenings to industrial automation. There are also interest and backing for applications including language translation, chatbots and service bots, facial recognition, and self-driving cars. A major challenge that the developer has to overcome with these applications, however, is dealing with massive quantities of unstructured data including image, voice, and sound.

NVIDIA CUDA, which enables general computing on graphical processing units (GPUs), allow developers to increase the speed of their applications. You can use these graphics cards to Ubuntu with traditional PCI slots on motherboards or with external Thunderbolt adapters. In fact, NVIDIA’s DGX Systems for deep learning run on Ubuntu.

Canonical, which produces Ubuntu with the help of its community, has also worked with Google to develop Kubeflow, which simplifies the process of installing AI tools and framework, as well as making it easier to use GPUs.

In addition, Ubuntu’s extensive libraries, tutorials and examples related to AI, ML, and DL make it the preferred OS choice for these applications. Ubuntu is also known for the support it offers for the most recent versions of free open source platforms and software.

More Ubuntu Benefits for Developers

In addition to its extensive ability to support AI, ML, and DL applications, Ubuntu offers a variety of other benefits that help to make it the most used Linux distro worldwide:

  • Cross-platform consistency: Whether running on a desktop, on a server, in the cloud, or on an Internet of Things (IoT) device, Ubuntu offers consistent OS experiences. The same software packages and user interface (UI) are available on all versions. The advantage of this Ubuntu feature for developers is that it allows you to test and debug software before deploying at full scale, with less trial and error.
  • Snapcraft: You can build snaps, or containerized applications for desktops, cloud, or IoT using the Snapcraft tool. It allows you to automatically release new versions to your users, keeping their systems updated and secure. It also eliminates the need to support older versions of your application.
  • Hardware support: Ubuntu works with hardware vendors, its community, and the broader Linux community to provide comprehensive hardware support. This allows users to add memory, storage, or other components and upgrade their hardware without limits that other operating systems impose.
  • Extensive support: Canonical provides five years of support for Ubuntu releases, including critical bug fixes, security updates, and hardware enablement, at no cost. Ubuntu users can also apply critical kernel security fixes without rebooting with Livepatch And Ubuntu has a large community active on a variety of forums that are ready to help new users or to answer technical questions.

Ubuntu is available for you to try at no cost — you can download the version and documentation you need from the web. For more information, download Canonical’s white paper Six reasons why developers choose Ubuntu Desktop.  

Bernadette Wilson

Bernadette Wilson, a DevPro Journal contributor, has 19 years of experience as a journalist, writer, editor, and B2B marketer.


Bernadette Wilson, a DevPro Journal contributor, has 19 years of experience as a journalist, writer, editor, and B2B marketer.