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Nvidia releases open-source GPU kernel modules
The first open-source release of GPU kernel modules for the Linux community helps improve NVIDIA GPU driver quality and security.
NVIDIA Developer Blog
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Visit developer.nvidia.com → On Hacker News Dec 2011 – Sep 2026
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Nvidia announces native GPU programming in Rust
In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and NVIDIA will be growing and maturing CUDA…
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NVIDIA Transitions Fully Towards Open-Source Linux GPU Kernel Modules
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…
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Nvidia DGX GH200: 100 Terabyte GPU Memory System
At COMPUTEX 2023, NVIDIA announced NVIDIA DGX GH200, which marks another breakthrough in GPU-accelerated computing to power the most demanding giant AI workloads.
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Nvidia Opens CUDA Platform, Releases Compiler Source Code
NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source compiler infrastructure. Developers can create or extend programming languages with support for GPU acceleration using the NVIDIA Compiler SDK .
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Ray Tracing Gems II available as free download
This Open Access book is a must-have for anyone interested in real-time rendering.
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Train an AI model once and deploy on any cloud
Organizations are increasingly adopting hybrid and multi-cloud strategies to access the latest compute resources, consistently support worldwide customers, and optimize cost. However…
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Nvidia Scientists Take Top Spots in 2021 Brain Tumor Segmentation Challenge
NVIDIA data scientists took three of the top spots in a brain tumor segmentation challenge validation phase at the prestigious MICCAI 2021.
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Debugging a Mixed Python and C Language Stack
Debugging is difficult. Debugging across multiple languages is especially challenging, and debugging across devices often requires a team with varying skill sets and expertise to reveal the underlying…
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Nvidia Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world…
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Unifying the CUDA Python Ecosystem
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python…
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Megatron-Turing NLG 530B, the World’s Largest Generative Language Model
MT-NLG has 3x the number of parameters compared to the existing largest model of this type and demonstrates unmatched accuracy in a broad set of natural language tasks.
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GPUDirect Storage: A Direct Path Between Storage and GPU Memory
As AI and HPC datasets continue to increase in size, the time spent loading data for a given application begins to place a strain on the total application’s performance. When considering end-to-end…