Continuing our series on HDR color in games, we’ll start this post with the simple truth. There is no one correct way to do things. However, we do have advice on things that do work well and things that don’t. The first concern is obviously whether your game is rendering with HDR internally today. Since most PC games are, we’ll consider this a pretty safe bet. Beyond this are the more subtle challenges we’ll tackle in this post.
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning in the hands of data scientists rxnd researchers. Using DIGITS you can perform common deep learning tasks such as managing data, defining networks, training several models in parallel, monitoring training performance in real time, and choosing the best model from the
Today we’re excited to announce the availability of NVIDIA DIGITS 4. DIGITS 4 introduces a new object detection workflow and DetectNet, a new deep neural network for object detection that enables data scientists and researchers to train models that can detect instances of faces, pedestrians, traffic signs, vehicles and other objects in images. Object detection is
Game developers shipping titles for PC and consoles are faced with many interesting rendering optimization challenges. The GPU cost of techniques like tile-based lighting or the CPU cost of the rendering API are going to impact performance very differently based on which platform is being used.
Today’s data centers demand greater agility, resource uptime and streamlined administration to deal with the ever-increasing computational requirements of HPC, hyperscale and enterprise workloads. IT administrators depend on robust data center management tools to proactively monitor resource health, increase efficiency and lower operational costs. In this blog post, I’ll tell you about a new tool