Contents
- 1. Introduction
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2. Pre-installation Actions
- 2.1. Verify You Have a CUDA-Capable GPU
- 2.2. Verify You Have a Supported Version of Linux
- 2.3. Verify the System Has gcc Installed
- 2.4. Verify the System has the Correct Kernel Headers and Development Packages Installed
- 2.5. Install GPUDirect Storage
- 2.6. Choose an Installation Method
- 2.7. Download the NVIDIA CUDA Toolkit
- 2.8. Address Custom xorg.conf, If Applicable
- 2.9. Handle Conflicting Installation Methods
- 3. Package Manager Installation
- 4. Driver Installation
- 5. NVIDIA Open GPU Kernel Modules
- 6. Precompiled Streams
- 7. Kickstart Installation
- 8. Runfile Installation
- 9. Conda Installation
- 10. Pip Wheels
- 11. Tarball and Zip Archive Deliverables
- 12. CUDA Cross-Platform Environment
- 13. Post-installation Actions
- 14. Advanced Setup
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15. Frequently Asked Questions
- 15.1. How do I install the Toolkit in a different location?
- 15.2. Why do I see “nvcc: No such file or directory” when I try to build a CUDA application?
- 15.3. Why do I see “error while loading shared libraries: <lib name>: cannot open shared object file: No such file or directory” when I try to run a CUDA application that uses a CUDA library?
- 15.4. Why do I see multiple “404 Not Found” errors when updating my repository meta-data on Ubuntu?
- 15.5. How can I tell X to ignore a GPU for compute-only use?
- 15.6. Why doesn’t the cuda-repo package install the CUDA Toolkit and Drivers?
- 15.7. How do I get CUDA to work on a laptop with an iGPU and a dGPU running Ubuntu14.04?
- 15.8. What do I do if the display does not load, or CUDA does not work, after performing a system update?
- 15.9. How do I install a CUDA driver with a version less than 367 using a network repo?
- 15.10. How do I install an older CUDA version using a network repo?
- 15.11. Why does the installation on SUSE install the Mesa-dri-nouveau dependency?
- 15.12. How do I handle “Errors were encountered while processing: glx-diversions”?
- 16. Additional Considerations
- 17. Switching between Driver Module Flavors
- 18. Removing CUDA Toolkit and Driver
- 19. Notices
- 20. Copyright