https://ramdi.fr/tags/nvidia/Recent content in Nvidia on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/a-structured-gpu-performance-engineering-curriculum-from-fundamentals-to-frontier-labs/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/a-structured-gpu-performance-engineering-curriculum-from-fundamentals-to-frontier-labs/A curated GPU performance engineering curriculum focusing on CUDA, kernel optimization, and NVIDIA architectures, guiding engineers from fundamentals to advanced production techniques.https://ramdi.fr/github-stars/openshell-securing-ai-agents-with-runtime-policy-sandboxing-from-nvidia/Mon, 18 May 2026 18:25:17 +0000https://ramdi.fr/github-stars/openshell-securing-ai-agents-with-runtime-policy-sandboxing-from-nvidia/OpenShell by NVIDIA offers a Rust-based AI agent sandbox runtime with hot-reloadable YAML policies for filesystem, network, process, and inference controls inside containers.https://ramdi.fr/github-stars/nvidia-open-gpu-kernel-modules-a-pragmatic-architecture-for-linux-gpu-drivers/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/nvidia-open-gpu-kernel-modules-a-pragmatic-architecture-for-linux-gpu-drivers/NVIDIA’s open GPU kernel modules split driver code into pre-built OS-agnostic binaries and thin kernel interface layers, avoiding recompilation on Linux kernel updates. Here’s how it works.