Materials tagged "nvidia"
- 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®... -
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 inst... - Please install NVIDIA® drivers by following our guide Install NVIDIA® driver in Linux, before checking the NVLink® support in the operating system. Additionally, you need to install the CUDA® toolk...
- Please note that you need to Install NVIDIA® drivers in Windows or Install CUDA® toolkit in Windows before checking NVLink® connections. Also, Switch GPU mode to TCC. Install Visual Studio Let’s ...
- 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 ...
- 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 ...
- nvidia-smi is a CLI tool that helps manage NVIDIA® GPUs. It is typically installed alongside drivers and communicates with them to perform ordinary tasks. Problems usually occur when automatic upda...
- 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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How to run DeepLearning benchmark
Running benchmarks on machine learning servers isn’t the simplest task. Popular tests include benchmarks such as MLperf, ai-benchmark, and deeplearning-benchmark. The first is a set of tests at equ... -
How to fix OpenCL no platform errors
This guide explains what to do when an OpenCL application fails to work. Most often, this happens because the application can’t find an available computing device, typically the GPU. Check GPU dri... - In modern computing, GPUs play a crucial role across various fields, from medicine to film production. While GPUs can significantly reduce computing time - often by factors of tens or hundreds. The...
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Advantages and Disadvantages of GPU sharing
Moore’s Law has remained relevant for nearly half a century. Processor chips continue to pack in more transistors, and technologies advance daily. As technology evolves, so does our approach to com... -
NVIDIA® RTX™ 50: expectations and reality
The highlight of CES 2025 was NVIDIA® CEO Jensen Huang’s speech. The revelation of new GPU specifications within minutes caught many off guard. In this article, we’ll examine how expert predictions... - Business requirements may vary, but they all share one core principle: systems must operate quickly and deliver the highest possible quality. When dealing with neural network inference, efficient u...
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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 proce... -
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...