CUDA Toolkit 3.1 Downloads
CUDA Toolkit 3.1
For the latest releases see the CUDA Toolkit and GPU Computing SDK home page
- GPUDirect(tm) gives 3rd party devices direct access to CUDA Memory
- Support for 16-way concurrency allows up to 16 different kernels to run at the same time on Fermi architecture GPUs
- Runtime / Driver interoperability enables applications to mix-n-match use of the CUDA Driver API with CUDA C Runtim and math libraries via buffer sharing and context migration
- New language features added to CUDA C / C++ include:
- Support for printf() in device code
- Support for function pointers and recursion make it easier to port many existing algorithms to Fermi GPUs
- Unified Visual Profiler now supports both CUDA C/C++ and OpenCL, and now includes support for CUDA Driver API tracing
- Math Libraries Performance Improvements, including:
- Improved performance of selected transcendental functions from the log, pow, erf, and gamma families
- Significant improvements in double-precision FFT performance on Fermi-architecture GPUs for 2^n transform sizes
- Streaming API now supported in CUBLAS for overlapping copy and compute operations
- CUFFT Real-to-complex (R2C) and complex-to-real (C2R) optimizations for 2^n data sizes
- Improved performance for GEMV and SYMV subroutines in CUBLAS
- Optimized double-precision implementations of divide and reciprocal routines for the Fermi architecture
- New and updated SDK code samples demonstrating how to use:
- Function pointers in CUDA C/C++ kernels
- OpenCL / Direct3D buffer sharing
- Hidden Markov Model in OpenCL
- Microsoft Excel GPGPU example showing how to run an Excel function on the GPU
Note: The developer driver packages below provide baseline support for the widest number of NVIDIA products in the smallest number of installers. More recent production driver packages for developers and end users may be available at www.nvidia.com/drivers.
For additional tools and solutions for Windows, Linux and MAC OS , such as CUDA Fortran, CULA, CUDA-dgb , please visit our Tools and Ecosystem Page
Windows XP, Windows VISTA, Windows 7
| Description of Download | Link to Binaries | Documents |
| C2050 Support Drivers | download | |
| Developer Drivers for WinXP (257.21) | 32-bit 64-bit | |
| Developer Drivers for WinVista and Win7 (257.21) | 32-bit 64-bit | |
| Notebook Developer Drivers for WinXP (257.21) | 32-bit 64-bit | |
| Notebook Developer Drivers for WinVista and Win7 (257.21) | 32-bit 64-bit | |
| 32-bit 64-bit | Getting Started Guide Windows Release Notes *Updated* CUDA C Programming Guide CUDA C Best Practices Guide OpenCL Programming Guide OpenCL BestPractices Guide OpenCL Implementation Notes CUDA Reference Manual API Reference PTX ISA 2.1 Visual Profiler User Guide Visual Profiler Release Notes Fermi Compatibility Guide * Updated * Fermi Tuning Guide CUBLAS User Guide CUFFT User Guide CUDA Developer Guide for Optimus Platforms License | |
| NVIDIA Performance Primitives (NPP) library | 32-bit 64-bit | NPP Release Notes NPP License |
| GPU Computing SDK code samples | 32-bit 64-bit | OpenCL Release Notes CUDA C/C++ Release Notes DirectCompute Release Notes CUDA Occupancy Calculator License |
| NVIDIA OpenCL Extensions | Compiler_Options D3D9 Sharing D3D10 Sharing D3D11 Sharing Device Attribute Query Pragma Unroll |
Linux
| Description of Download | Link to Binaries | Documents | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer Drivers for Linux (256.40) | 32-bit 64-bit | README_Linux.txt | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Version | Network Installer | Local Installer |
|---|---|---|
| Windows 8.1 Windows 7 Win Server 2012 R2 Win Server 2008 R2 | EXE (8.0MB) | EXE (939MB) |
| cuFFT Patch | ZIP (52MB) , README | |
| Windows Getting Started Guide | ||
Q: Where is the notebook installer?
A: Previous releases of the CUDA Toolkit had separate installation packages for notebook and desktop systems. Beginning with CUDA 7.0, these packages have been merged into a single package that is capable of installing on all supported platforms.
Q: What is the difference between the Network Installer and the Local Installer?
A: The Local Installer has all of the components embedded into it (toolkit, driver, samples). This makes the installer very large, but once downloaded, it can be installed without an internet connection. The Network Installer is a small executable that will only download the necessary components dynamically during the installation so an internet connection is required.
Q: Where do I get the GPU Deployment Kit (GDK) for Windows?
A: The installers give you an option to install the GDK. If you only want to install the GDK, then you should use the network installer, for efficiency.
Q: Where can I find old versions of the CUDA Toolkit?
A: Older versions of the toolkit can be found on the Legacy CUDA Toolkits page.
Q: Is cuDNN included as part of the CUDA Toolkit?
A: cuDNN is our library for Deep Learning frameworks, and can be downloaded separately from the cuDNN home page.
| Version | Network Installer | Local Package Installer | Runfile Installer | |
|---|---|---|---|---|
| Fedora 21 | RPM (3KB) | RPM (1GB) | RUN (1.1GB) | |
| OpenSUSE 13.2 | RPM (3KB) | RPM (1GB) | RUN (1.1GB) | |
| OpenSUSE 13.1 | RPM (3KB) | RPM (1GB) | RUN (1.1GB) | |
| RHEL 7 CentOS 7 | RPM (10KB) | RPM (1GB) | RUN (1.1GB) | |
| RHEL 6 CentOS 6 | RPM (18KB) | RPM (1GB) | RUN (1.1GB) | |
| SLES 12 | RPM (3KB) | RPM (1.1GB) | RUN (1.1GB) | |
| SLES 11 (SP3) | RPM (3KB) | RPM (1.1GB) | RUN (1.1GB) | |
| SteamOS 1.0-beta | RUN (1.1GB) | |||
| Ubuntu 14.10 | DEB (3KB) | DEB (1.5GB) | RUN (1.1GB) | |
| Ubuntu 14.04 * | DEB (10KB) | DEB (902MB) | RUN (1.1GB) | |
| Ubuntu 12.04 | DEB (3KB) | DEB (1.3GB) | RUN (1.1GB) | |
| GPU Deployment Kit | Included in Installer | Included in Installer | RUN (4MB) | |
| cuFFT Patch | TAR (122MB) , README | |||
| Linux Getting Started Guide | ||||
* Includes POWER8 cross-compilation tools.
Q: Where can I find the CUDA 7 Toolkit for my Jetson TK1?
A: Jetson TK1 is not supported by the CUDA 7 Toolkit. Please download the CUDA 6.5 Toolkit for Jetson TK1 instead.
Q: What is the difference between the Network Installer and the Local Installer?
A: The Local Installer has all of the components embedded into it (toolkit, driver, samples). This makes the installer very large, but once downloaded, it can be installed without an internal internet connection. The Network Installer is a small executable that will only download the necessary components dynamically during the installation so an internet connection is required to use this installer.
Q: Is cuDNN included as part of the CUDA Toolkit?
A: cuDNN is our library for Deep Learning frameworks, and can be downloaded separately from the cuDNN home page.
| Version | Network Installer | Local Package Installer | Runfile Installer |
|---|---|---|---|
| Ubuntu 14.10 | DEB (3KB) | DEB (588MB) | |
| Ubuntu 14.04 | DEB (3KB) | DEB (588MB) | |
| GPU Deployment Kit | n/a | n/a | RUN (1.7MB) |
| cuFFT Patch | TAR (105MB) , README | ||
| Linux Getting Started Guide | |||
Q: What is the difference between the Network Installer and the Local Installer?
A: The Local Installer has all of the components embedded into it (toolkit, driver, samples). This makes the installer very large, but once downloaded, it can be installed without an internal internet connection. The Network Installer is a small executable that will only download the necessary components dynamically during the installation so an internet connection is required to use this installer.
Q: Is cuSOLVER available for the POWER8 architecture?
A: The initial release of the CUDA 7.0 toolkit omitted the cuSOLVER library from the installer. On May 29, 2015, new CUDA 7.0 installers were posted for the POWER8 architecture that included the cuSOLVER library. If you downloaded the CUDA 7.0 toolkit for POWER8 on or earlier than this date, and you need to use cuSOLVER, you will need to download the latest installer and re-install.
| Version | Network Installer | Local Installer |
|---|---|---|
| 10.9 10.10 | DMG (0.4MB) | PKG (977MB) |
| cuFFT Patch | TAR (104MB) , README | |
| Mac Getting Started Guide | ||
Q: What is the difference between the Network Installer and the Local Installer?
A: The Local Installer has all of the components embedded into it (toolkit, driver, samples). This makes the installer very large, but once downloaded, it can be installed without an internal connection. The Network Installer is a small executable that will only download the necessary components dynamically during the installation so an internet connection is required to use this installer.
Q: Is cuDNN included as part of the CUDA Toolkit?
A: cuDNN is our library for Deep Learning frameworks, and can be downloaded separately from the cuDNN home page.
Q: What do I do if the Network Installer fails to run with the error message «The package is damaged and can’t be opened. You should eject the disk image»?
A: Check that your security preferences are set to allow apps downloaded from anywhere to run. This setting can be found under: System Preferences > Security & Privacy > General
