CUDACasts Episode #5: Install CUDA 5.5 with a Linux Package Manager

Today, CUDA 5.5 has been officially released! To continue with our CUDACasts mini-series on new CUDA 5.5 features, we will be exploring a new method for installing the CUDA platform on a supported Linux OS. In previous versions of CUDA, you would have used the run-file installer, a utility that handled installing the CUDA Toolkit, samples, and NVIDIA driver. While the run-file installer is still supported, it is now possible to install CUDA and the NVIDIA driver using either the RPM or Debian package managers. This new method also allows you to easily install individual components, as well as quickly update your system to the latest CUDA and NVIDIA driver releases.

This CUDACasts video shows you how to use apt-get on Ubuntu Linux to install CUDA from a .deb file. There are also a number of useful tips in the video (such as how to verify your NVIDIA driver installation). Note that in the video I log in to my registered developer account before downloading CUDA 5.5, but CUDA 5.5 is now officially released to the public, so you don’t need to register to download it!

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About Mark Ebersole

As CUDA Educator at NVIDIA, Mark Ebersole teaches developers and programmers about the NVIDIA CUDA parallel computing platform and programming model, and the benefits of GPU computing. With more than ten years of experience as a low-level systems programmer, Mark has spent much of his time at NVIDIA as a GPU systems diagnostics programmer in which he developed a tool to test, debug, validate, and verify GPUs from pre-emulation through bringup and into production. Before joining NVIDIA, he worked for IBM developing Linux drivers for the IBM iSeries server. Mark holds a BS degree in math and computer science from St. Cloud State University. Follow @cudahamster on Twitter
  • kl

    There is an error with the video, it is supposed to be a tutorial on installing Cuda on Linux. But instead it’s doing a tutorial for Windows. Please upload the Linux tutorial.

  • Thanks for letting us know, kl! The embedded URL was incorrect and it was showing CUDACast Episode 1. I’ve fixed this and you should see the correct CUDACast (Episode 5) here now.