Delivering Dynamic Foveated Rendering with NVIDIA VRSS 2
Designing rich content and graphics for VR experiences means creating complex materials and high-resolution textures. But rendering all that content at VR...
We published nearly 100 technical blogs this year on the NVIDIA Developer Blog to help developers across a variety of industries develop their GPU-accelerated...
Accelerate OpenCV: Optical Flow Algorithms with NVIDIA Turing GPUs
OpenCV is a popular open-source computer vision and machine learning software library with many computer vision algorithms including identifying objects,...
INT4 Precision Can Bring an Additional 59% Speedup Compared to INT8 If there’s one constant in AI and deep learning, it’s never-ending optimization to wring...
VR head-mounted displays (HMDs) continue to dramatically improve with each generation. Resolution, refresh rate, field of view, and other features bring unique...
Video Series: Path Tracing for Quake II in Two Months
You wouldn’t know Quake II is now more than 20 years old when looking at the new RTX version. Path-traced reflections, shadows, and dynamic light sources...
The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA’s Volta V100 and Turing GPUs. This enables scientific programmers using...
ZeroLight Improves Automotive Product Visualisation Quality and Performance with VRS
ZeroLight’s proprietary visualisation platform is used across the automotive industry. Offering real-time product rendering, hyper-realistic visuals, our...
NVIDIA’s Turing GPUs introduced a new hardware functionality for computing optical flow between images with very high performance. The Optical Flow SDK 1.0...
All NVIDIA GPUs starting with Kepler support fully-accelerated hardware video encoding; GPUs starting with Fermi support fully-accelerated hardware video...
Video Series: Mixed-Precision Training Techniques Using Tensor Cores for Deep Learning
Neural networks with thousands of layers and millions of neurons demand high performance and faster training times. The complexity and size of neural networks...
Using Tensor Cores for Mixed-Precision Scientific Computing
Double-precision floating point (FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in...
This year proved to be a banner year for the NVIDIA Developer Blog, publishing over 80 new technical articles. Given this year’s pace, it’s easy to miss out...
The NVIDIA Asteroids demo showcases how the mesh shading technology built into NVIDIA’s Turing GPU architecture can dramatically improve performance and...
