Kevin Mittman – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2024-08-08T18:48:48Z http://www.open-lab.net/blog/feed/ Kevin Mittman <![CDATA[NVIDIA Transitions Fully Towards Open-Source GPU Kernel Modules]]> http://www.open-lab.net/blog/?p=85331 2024-08-08T18:48:48Z 2024-07-17T16:40:27Z With the R515 driver, NVIDIA released a set of Linux GPU kernel modules in May 2022 as open source with dual GPL and MIT licensing. The initial release targeted...]]>

With the R515 driver, NVIDIA released a set of Linux GPU kernel modules in May 2022 as open source with dual GPL and MIT licensing. The initial release targeted datacenter compute GPUs, with GeForce and Workstation GPUs in an alpha state. At the time, we announced that more robust and fully-featured GeForce and Workstation Linux support would follow in subsequent releases and the NVIDIA Open…

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Kevin Mittman <![CDATA[Updating the CUDA Linux GPG Repository Key]]> http://www.open-lab.net/blog/?p=47291 2023-06-12T20:37:54Z 2022-04-28T18:36:29Z To best ensure the security and reliability of our RPM and Debian package repositories, NVIDIA is updating and rotating the signing keys used by the apt,...]]>

To best ensure the security and reliability of our RPM and Debian package repositories, NVIDIA is updating and rotating the signing keys used by the , , and package managers beginning April 27, 2022. If you don’t update your repository signing keys, expect package management errors when attempting to access or install packages from CUDA repositories. To ensure continued access to the…

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Kevin Mittman <![CDATA[Streamlining NVIDIA Driver Deployment on RHEL 8 with Modularity Streams]]> http://www.open-lab.net/blog/?p=21632 2023-03-22T01:08:59Z 2020-10-09T20:49:53Z NVIDIA GPUs have become mainstream for accelerating a variety of workloads from machine learning, high-performance computing (HPC), content creation workflows,...]]>

NVIDIA GPUs have become mainstream for accelerating a variety of workloads from machine learning, high-performance computing (HPC), content creation workflows, and data center applications. For these enterprise use cases, NVIDIA provides a software stack powered by the CUDA platform: drivers, CUDA-X acceleration libraries, CUDA-optimized applications, and frameworks.

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