Please Note: There is a recommended patch for CUDA 7.0 which resolves an issue in the cuFFT library that can lead to incorrect results for certain inputs sizes less than or equal to 1920 in any dimension when cufftSetStream() is passed a non-blocking stream (e.g., one created using the cudaStreamNonBlocking flag of the CUDA Runtime API or the CU_STREAM_NON_BLOCKING flag of the CUDA Driver API).
Windows 7
Win Server 2012 R2
Win Server 2008 R2 EXE (8.0MB) EXE (939MB)
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.
CentOS 7 RPM (10KB) RPM (1GB) RUN (1.1GB)
CentOS 6 RPM (18KB) RPM (1GB) RUN (1.1GB)
* 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.
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.
10.10 DMG (0.4MB) PKG (977MB)
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
Nvidia – самый крупный производитель видеокарт для компьютеров. Драйвер играет важную роль в производительности видеокарты. Установка последней версии видеодрайвера может поднять производительность видеокарты на 30%, по сравнению с версиями, которые были выпущены на старте продаж. Соответственно, использование устаревших версий драйверов не дает полностью раскрыть потенциал видеокарты.
Nvidia CUDA Developer Driver 301.32 for Vista64/Windows 7 x64
This package provides the installation files for Nvidia CUDA Developer Driver Desktop edition, revision 301.32 for Vista64 and Windows 7 x64.
This release of the CUDA Toolkit enables development using GPUs using the Kepler architecture, such as the GeForce GTX680. Feature and functionality builds on the foundation of the CUDA 4.1 release which introduced:
— A new LLVM-based CUDA compiler
— 1000+ new image processing functions
— Redesigned Visual Profiler with automated performance analysis and integrated expert guidance
It is highly recommended to always use the most recent driver version available.
Do not forget to check with our site as often as possible in order to stay updated on the latest drivers, software and games.
Try to set a system restore point before installing a device driver. This will help if you installed a wrong driver. Problems can arise when your hardware device is too old or not supported any longer.
Примечание: Ссылка «скачать» может вести как непосредственно на файл, так и на сайт производителя, на котором Вы можете найти нужный файл.
Это связано с тем, что некоторые производители не позволяют размещать прямые ссылки на файлы.
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