But today I noticed that things aren't working anymore: sudo apt-get install cuda=9.0.176-1 -yes This has always worked well, I had that in a script that would automatically setup my CI machines.
Beta drivers posted do not carry any warranties nor support services.I have been installing various versions of CUDA this way for years: sudo apt-get update Please ensure that newer Recommended/Certified drivers are not already posted on prior to installation and usage of Beta drivers. It is strongly recommended that end users back up all the data prior to using Beta drivers from this site.
Choose another product to re-enter your product details for this driver or visit the Product Support page to view all drivers for a different product. It is the end user's responsibility to protect system and data when using Beta drivers with NVIDIA products. This driver is not applicable for the selected product. Beta drivers are under qualification testing, and may include significant issues.
"Beta Release" Beta drivers are provided by NVIDIA as preview releases for quick bug fixes and access to new features. Thank you for reporting the bug, which will now be closed. A summary of the changes between this version and the previous one is attached. "NFB / SLB" New Feature Branch (NFB) New Feature Branch Linux drivers provide early adopters and bleeding edge developers access to the latest driver features before they are integrated into the Production Branches. Source: nvidia-cuda-toolkit Source-Version: 8.0.44-4 We believe that the bug you reported is fixed in the latest version of nvidia-cuda-toolkit, which is due to be installed in the Debian FTP archive. This driver is most commonly deployed at enterprises, providing support for the sustained bug fix and security updates commonly required. "PB / LLB" Production Branch (PB) Production Branch Linux drivers provide ISV certification and optimal stability and performance for Unix customers. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. Production Branch drivers offer ISV certification, long life-cycle support, and access to the same functionality as corresponding Studio Drivers of the same version. Install LibCUDNN 7 for NVIDIA CUDA Toolkit 9.0 As described in the website The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. Highly recommend against installing the meta packages that handles upgrades to the next version automatically, best to perform the NVIDIA driver installation separately, and then carefully choosing the NVIDIA CUDA toolkit you require. "PB / ODE" Production Branch (PB) / Studio driver is what most users select for optimal stability and performance. Step 3: Use yum install to install your desired meta package. It has been tested for workstation environments with reduced product support, and is recommended only for those users who need specific features that are mentioned in the respective release highlights or release notes. "NFB / QNF" New Feature Branch (NFB) driver is from the most recent driver release branch, and provides users with the opportunity to access the latest new features and functionality in between Production Branch releases. However, the setup program test my environment that whether it is compatible and fail to install it. NVIDIA does extensive testing which focuses on the top creative applications and ensures the highest levels of performance, stability, and functionality are provided. I’m trying to install CUDA 9.0 on my laptop Surface book 2 13’ with GTX 1050 notebook. "SD" Studio Drivers provide the best possible experience for key major creative applications. From early access through the lifecycle of the game, NVIDIA’s driver team continues to exhaustively test all major milestones so they can optimize performance, maximize stability, and perfect overall gameplay functionality. "GRD" Game Ready Drivers provide the best possible gaming experience for all major games.
The procedure may also include Microsoft running their own tests on a wide range of equipment, like different hardware and different Microsoft Windows editions. non-Microsoft) hardware or software, and then submitting the log files from these tests to Microsoft for review.
" WHQL Certified" Windows Hardware Quality Labs testing or WHQL Testing is a testing process which involves running a series of tests on third-party (i.e.