NVIDIA HAS ANNOUNCED Design Works, a suite of rendering tools aimed at changing the design industry and how designers work on creations.
The software allows rendering at large scale, and in virtual reality (VR), giving designers the ability to collaborate with others and incorporate live video. This means they can render and see their designs with greater accuracy, and share those designs with others.
Nvidia explained that the ability to use the rendering tools in VR is an important aspect of Design Works.
"Leading-edge companies like Ford use VR [in] their design processes," Nvidia said in a webcast, adding that photo realistic visualisation technology should be something everyone can take advantage of in design.
"We want to make it so that if you're on a workflow you can take your design from package to package. Different parts of the design team will seamlessly have a way to visualise design and cut the time [taken] to produce whatever you're working on, and pull it forward in a way that benefits everyone."
Specific features of Design Studio have yet to be shown off in depth, but Nvidia will demo the software at the Siggraph 2015 conference in Los Angeles this week.
As part of the announcement of Design Works, Nvidia said that the Pixar animation studio will license a suite of Nvidia technologies related to its quasi-Monte Carlo (QMC) image rendering methods.
A multi-year strategic licensing agreement will give Pixar access to QMC to make rendering more efficient as it is powered by GPUs and other parallel computing architectures.
"Nvidia and Pixar have worked together for years to improve workflows in content creation," said Nvidia's VP of engineering and CTO of rendering technology, Stephen Parker.
"With Nvidia's QMC sampling technology, Pixar can accelerate its creative process while continuing to produce visual imagery and animation of the very highest standard."
Nvidia will also contribute ray-tracing technology to Pixar's OpenSubdiv Project, an open source initiative to promote high-performance subdivision surface evaluation on massively parallel CPU and GPU architectures. This will enable rendering of complex Catmull-Clark subdivision surfaces in animation with unprecedented precision, the firms said.
Nvidia announced a series of updates to its GPU-accelerated deep learning software last month that it claims will double deep learning training performance.
The software update arrived as Nvidia's Digits Deep Learning GPU Training System version 2 and the CUDA Deep Neural Network library version 3. The company said that these will allow data scientists and researchers to boost deep learning projects and product development by "creating more accurate neural networks through faster model training and more sophisticated model design". µ
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