CUDA
Mar 09, 2026
CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features
CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now supported on devices of compute capability 8.X architectures (NVIDIA Ampere and NVIDIA Ada), as...
15 MIN READ
Mar 05, 2026
Tuning Flash Attention for Peak Performance in NVIDIA CUDA Tile
In this post, we dive into one of the most critical workloads in modern AI: Flash Attention, where you’ll learn: How to implement Flash Attention using NVIDIA...
20 MIN READ
Mar 05, 2026
Controlling Floating-Point Determinism in NVIDIA CCCL
A computation is considered deterministic if multiple runs with the same input data produce the same bitwise result. While this may seem like a simple property...
7 MIN READ
Mar 03, 2026
cuTile.jl Brings NVIDIA CUDA Tile-Based Programming to Julia
NVIDIA CUDA Tile is one of the most significant additions to NVIDIA CUDA programming and unlocks automatic access to tensor cores and other specialized...
5 MIN READ
Feb 19, 2026
Accelerating Data Processing with NVIDIA Multi-Instance GPU and NUMA Node Localization
NVIDIA flagship data center GPUs in the NVIDIA Ampere, NVIDIA Hopper, and NVIDIA Blackwell families all feature non-uniform memory access (NUMA) behaviors, but...
12 MIN READ
Feb 18, 2026
Topping the GPU MODE Kernel Leaderboard with NVIDIA cuda.compute
Python dominates machine learning for its ergonomics, but writing truly fast GPU code has historically meant dropping into C++ to write custom kernels and to...
5 MIN READ
Feb 10, 2026
Using Accelerated Computing to Live-Steer Scientific Experiments at Massive Research Facilities
Scientists and engineers who design and build unique scientific research facilities face similar challenges. These include managing massive data rates that...
13 MIN READ
Jan 30, 2026
Advancing GPU Programming with the CUDA Tile IR Backend for OpenAI Triton
NVIDIA CUDA Tile is a GPU-based programming model that targets portability for NVIDIA Tensor Cores, unlocking peak GPU performance. One of the great things...
7 MIN READ
Jan 30, 2026
Establishing a Scalable Sparse Ecosystem with the Universal Sparse Tensor
Sparse tensors are vectors, matrices, and higher-dimensional generalizations with many zeros. They are crucial in various fields such as scientific computing,...
15 MIN READ
Jan 21, 2026
Streamlining CUB with a Single-Call API
The C++ template library CUB is a go-to for high-performance GPU primitive algorithms, but its traditional "two-phase" API, which separates memory estimation...
8 MIN READ
Jan 14, 2026
How to Write High-Performance Matrix Multiply in NVIDIA CUDA Tile
This blog post is part of a series designed to help developers learn NVIDIA CUDA Tile programming for building high-performance GPU kernels, using matrix...
13 MIN READ
Jan 05, 2026
Inside the NVIDIA Rubin Platform: Six New Chips, One AI Supercomputer
AI has entered an industrial phase. What began as systems performing discrete AI model training and human-facing inference has evolved into always-on AI...
62 MIN READ
Dec 17, 2025
Solving Large-Scale Linear Sparse Problems with NVIDIA cuDSS
Solving large-scale problems in Electronic Design Automation (EDA), Computational Fluid Dynamics (CFD), and advanced optimization workflows has become the norm...
16 MIN READ
Dec 16, 2025
Boost GPU Memory Performance with No Code Changes Using NVIDIA CUDA MPSÂ
NVIDIA CUDA developers have access to a wide range of tools and libraries that simplify development and deployment, enabling users to focus on the “what”...
14 MIN READ
Dec 15, 2025
Reducing CUDA Binary Size to Distribute cuML on PyPI
Starting with the 25.10 release, pip-installable cuML wheels can now be downloaded directly from PyPI. No more complex installation steps or managing Conda...
8 MIN READ
Dec 10, 2025
Better Bug Detection: How Compile-Time Instrumentation for Compute Sanitizer Enhances Memory Safety
CUDA C++ is standard C++ with extensions that enable functions to run on many parallel threads on a GPU. It has facilitated widespread adoption while allowing...
11 MIN READ