The CUDA 5.5 installers include the CUDA Toolkit, SDK code samples, Nsight Visual Studio edition (for Windows) and Nsight Eclipse Edition (for Linux / Mac OS X), and developer drivers.
Get Updated GPU Drivers. Always check www.nvidia.com/drivers. The drivers in the packages below could have been superseded since CUDA Installer release.
CUDA 5.5 Production Release Release Notes.
|Windows||8.1 - Desktop||64-bit||32-bit||Windows Getting Started Guide|
|8.1 - Notebook||64-bit||32-bit|
|Vista, 7, 8.0 - Notebook||64-bit||32-bit|
|Vista, 7, 8.0 - Desktop||64-bit||32-bit|
|XP - Desktop*||64-bit||32-bit|
|Linux||RHEL 6||RPM RUN|
|Fedora 18||RPM RUN|
|OpenSUSE 12.2||RPM RUN|
|SLES 11 (SP1 & SP2)||RPM RUN|
|Ubuntu 12.04***||DEB** RUN||DEB** RUN||DEB|
|Ubuntu 12.10||DEB RUN||DEB RUN|
|Mac OSX||10.7 & 10.8||PKG||Mac Getting Started Guide|
All the CUDA Toolkits are subject to the license terms in this End User License Agreement.
* Driver support for WindowsXP and Windows 32-bit for Tesla Workstation products is limited to C2075 and older products only.
** Includes ARMv7 cross-complilation and profiling tools.
*** The CUDA 5.5 Debian packages are not compatible with Ubuntu 12.04 after the 12.04.4 LTS update. Please use the .run installer instead.
Q: How do I install the CUDA RPM/DEB packages?
A: First download and install the RPM/DEB package on this page to add the NVIDIA public repository to the list of repositories used by your package manager. Then you will be able to use yum, zypper or apt-get to install CUDA on your system. Refer to the installation instructions for RPM/DEB packages at the links above.
Q: Will the installer replace the driver currently installed on my system?
A: The installer will provide an option to install the included driver, and if selected, it will replace the driver currently on your system.
OpenACC & CUDA Fortran
CUDA 5.5 Overview Webinar
Tools and Libraries Ecosystem
Become a CUDA Registered Developer
Find out about new technologies such as GPUDirect, which are eliminating bottlenecks and making parallel computing easier than ever before.
If you need a legacy version of the CUDA Toolkit please visit our CUDA Toolkit Archive