Materials tagged "gpu"
- CUDA® is a parallel computing platform and application programming interface (API) model created by NVIDIA®. It works exclusively on NVIDIA® devices. CUDA® allows software developers and software e...
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Install NVIDIA® drivers in Linux
There are three possible ways to install NVIDIA® driver in Linux (Ubuntu LTS 18.04 / 20.04 / 22.04): Automatic or manual installation via ubuntu-drivers. Manual installation via NVIDIA® we... -
Install NVIDIA® drivers in Windows
This is the easiest way to install NVIDIA® drivers to accelerate applications that utilize the capabilities of the WDDM (Windows Display Driver Model) architecture. Please note that if you wish to ... -
Install CUDA® toolkit in Windows
Download CUDA® installer You can download the CUDA® toolkit for your operating system from the NVIDIA® Developers Portal. We recommend using the local installer type, as it can be faster. The insta... - Open the Start menu and type cmd on the keyboard. Then, right-click on the Command Prompt app and select Run as administrator. Finally, execute the NVIDIA® System Management Interface command-line ...
- Python PIP PIP, which stands for "Pip Installs Packages", is a package manager for Python. For Debian and Ubuntu: sudo apt update && sudo apt -y install python3-pip For other Linux distribu...
- Some programs used in modern video editing, engineering design, and 3D modeling require the use of GPU resources for fast rendering and displaying the image. Massive software packages used in the R...
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Collecting GPU metrics with Grafana
It is important to note that this setup isn’t secure. We highly recommend reading the documentation for each component used independently and utilizing the built-in security features whenever possi... - The utilization of application containerization has become a favored approach for workloads management. Although typical applications are straightforward to package and operate, applications utiliz...
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GPU accelerated Jupyter Notebook
Jupyter Notebook is a modern development environment widely used for machine learning and computer science. This software allows you to run Python code directly from a web interface and immediatel... -
What to remember when using benchmarks
The primary role of every benchmark is to allow users to assess the approximate performance of a computer or server, and to compare these results with other configurations. Additionally, benchmark... -
CUDA® initialization: Unexpected error from cudaGetDeviceCount()
Some server configurations, such as those with 8 x A100 SXM4 GPUs, have a peculiar characteristic. When Ubuntu is chosen as the operating system and the latest NVIDIA® drivers and CUDA® Toolkit are... -
Install CUDA® toolkit in Linux
Download CUDA® repository To ensure a stable Ubuntu release and enable the use of packages from the latest releases, NVIDIA® recommends to set the repository before starting the installation proces... -
Install NVIDIA® Drivers and CUDA® for RTX® 50 series
The launch of the RTX® 50 series was a major highlight of the first quarter of 2025. These new GPUs deliver substantially more power, giving users enhanced computing capabilities across many applic...