Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools
NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such...
Streamlining Resource Binding with End-to-End Support for Vulkan Descriptor Heaps
Shaders are GPU programs that process visual data—such as rays, pixels, geometry, and textures—to produce specific rendering effects. Shaders find necessary...
Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications
An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project...
Build On-Device AI Companions with the NVIDIA ACE Game Agent SDK and Unreal Engine 5 Plugins
NVIDIA RTX technologies are deeply integrated into Unreal Engine 5 through the NVIDIA RTX Branch of Unreal Engine and the NVIDIA DLSS Unreal Engine plugin....
Accelerating Vision AI Pipelines with Batch Mode VC-6 and NVIDIA Nsight
In vision AI systems, model throughput continues to improve. The surrounding pipeline stages must keep pace, including decode, preprocessing, and GPU...
NVIDIA RTX Innovations Are Powering the Next Era of Game Development
NVIDIA RTX ray tracing and AI-powered neural rendering technologies are redefining how games are made, enabling a new standard for visuals and performance. At...
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...
Speeding Up Variable-Length Training with Dynamic Context Parallelism and NVIDIA Megatron Core
This post introduces Dynamic Context Parallelism (Dynamic-CP), a scheduling approach in NVIDIA Megatron Core used for LLM post-training or DiT pre-training. It...
NVIDIA CUDA 13.1 Powers Next-Gen GPU Programming with NVIDIA CUDA Tile and Performance Gains
NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago. In this release, you’ll...
Unlock GPU Performance: Global Memory Access in CUDA
Managing memory is one of the most important performance characteristics to consider when writing a GPU kernel. This post walks you through the important...
By leveraging large language and speech models, generative AI is creating intelligent 3D avatars that can engage users in natural conversation, from video...
Announcing the Latest NVIDIA Gaming AI and Neural Rendering Technologies
Today at Gamescom 2025, NVIDIA unveiled updates to NVIDIA RTX neural rendering and NVIDIA ACE generative AI technologies that enable developers to deliver...
Streamlining GPU Porting for EDF's Fluid Dynamics Simulations with NVIDIA Nsight Profilers
Porting existing CPU applications to NVIDIA GPUs can unlock performance gains, enabling users to solve problems at a much greater scale and speed. While the...
Path Tracing Optimization in Indiana Jones™: Shader Execution Reordering and Live State Reductions
This post is part of the Path Tracing Optimizations in Indiana Jones™ series. While adding a path-tracing mode to Indiana Jones and the Great Circle™ in...
Path Tracing Optimizations in Indiana Jones™: Opacity MicroMaps and Compaction of Dynamic BLASs
The first post in this series, Path Tracing Optimization in Indiana Jones™: Shader Execution Reordering and Live State Reductions, covered ray-gen shader level...
The latest release of the CUDA Toolkit, version 12.8, continues to push accelerated computing performance in data sciences, AI, scientific computing, and...
