October 21, 2020
Winning MLPerf Inference 0.7 with a Full-Stack Approach
October 21, 2020
NASA Study Uses AI and Supercomputers to Reveal Billions of Trees in the Sahara Desert
October 21, 2020
New DLI Training: Accelerating CUDA C++ Applications with Multiple GPUs
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Winning MLPerf Inference 0.7 with a Full-Stack Approach
Three trends continue to drive the AI inference market for both training and inference: growing data sets, increasingly complex and diverse networks, and real-time AI services. MLPerf Inference 0.7, the most recent version of the industry-standard AI benchmark, addresses these three trends, giving developers and organizations useful data to inform platform choices, both in the […]
Lighting Scenes with Millions of Lights Using RTX Direct Illumination
At GTC Fall 2020, NVIDIA announced an upcoming developer SDK, RTX Direct Illumination (RTXDI), which enables and accelerates the rendering of dynamic direct lighting and shadows from many light sources. In this post, I highlight the RTXDI capabilities, ahead of the initial public release planned for spring 2021. You can request early access to RTXDI […]
Accelerating IO in the Modern Data Center: Network IO
This is the second post in the Explaining Magnum IO series, which described the architecture, components, and benefits of Magnum IO, the IO subsystem of the modern data center. The first post in this series introduced the Magnum IO architecture and positioned it in the broader context of CUDA, CUDA-X, and vertical application domains. Of […]
Preferring Compile-time Errors over Runtime Errors with Vulkan-hpp
One of the most important aspects in professional software development is to detect errors as early as possible. Of course, the best case would be if we couldn’t even write erroneous code. The next best thing is errors that the compiler can detect. The worst cases are runtime errors. The hardest ones are hidden in […]
