#Cuda

You ran a training job last week. It completed cleanly. Today you rent a fresh pod, run the same...

The NVIDIA CUDA Core Compute Libraries (CCCL) provides delightful and efficient abstractions for CUDA developers in C++ and Python. It features: This post…

There are many ways to optimize code for GPUs. In this post, you’ll learn how kernel fusion can improve memory bandwidth and reduce kernel launch overhead…

I had a GTX 470 a long time ago and remember sitting there patiently watching all the little dots fill in on the NVIDIA Design Garage-,Design%20Garage,-Released%20March%2026) 2010 demo.…

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…

NVIDIA CUDA remains the foundation of GPU-accelerated computing, powering everything from scientific simulations to large-scale AI training. But writing correct…

Every NVIDIA CUDA Toolkit release adds functionality and performance improvements that help developers get more from NVIDIA GPUs and the broader NVIDIA software…

GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between…

GPU applications increasingly need networking and data movement to behave like first-class GPU-controlled operations rather than host-driven services.

A PyTorch model can be portable in the way a recipe is portable: the ingredients and steps look...

A langgraph based workflow with a C++ CUDA suite to optimize CUDA kernels - bertaye/agentic-cuda-optimizer

Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP. - Speedstu/CUDA-for-AMD-Windows

A humble exploratory PoC for a hardware-native, optical timing-frozen control plane engine. Fuses inline CUDA PTX, RAII memory tunnels, and 4D JAX shard_map structures to investigate 0ns-overhead f...

Use Nix and NixOS on your DGX Spark! Contribute to graham33/nixos-dgx-spark development by creating an account on GitHub.

Tracing one vector-add kernel from nvcc all the way down to the warps that execute it.

cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions. -...

Nvidia's RTX Spark is competing in a space that AMD kickstarted over a year ago.

TL;DR: We profiled a LiDAR object detector expecting the 3D backbone to dominate. It didn't....

The N1X reportedly comes in two SKUs: a top-end 20-core option with 6,144 CUDA cores matching the desktop RTX 5070, and a cut-down 18-core option with 5,120 CUDA cores.…