Graph neural networks (GNNs) have revolutionized machine learning for graph-structured data. Unlike traditional neural networks, GNNs are good at capturing…
Molecular dynamics (MD) simulations model atomic interactions over time and require significant computational power. However, many simulations have small (<400…
Computing is an essential tool for the modern financial services industry. Profits are won and lost based on the speed and accuracy of algorithms guiding…
The latest release of Vulkan 1.3 simplifies render passes and makes synchronization easier.
Physical AI enables autonomous systems—think robots, self-driving cars, and smart spaces—to perceive, understand, and act intelligently in the real world.
CUDA Graphs are a way to define and batch GPU operations as a graph rather than a sequence of stream launches. A CUDA Graph groups a set of CUDA kernels and…
The emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with…
Three big NVIDIA Nsight releases on the same day! NSight Systems is a brand new optimization tool; Nsight Visual Studio Edition 5.6 extends support to Volta…
At GTC Spring 2020, Adobe, Verizon Media, and Uber each discussed how they used Spark 3.0 with GPUs to accelerate and scale ML big data pre-processing, training…
The latest Nsight Systems 2022.1 release introduces several improvements aimed to enhance the profiling experience.