Corona Renderer, Mental Ray etc.), on GPU only in some software (e.g. Think of rendering, that’s likely the most hardware-intensive task in each pipeline, which is executed on CPU only in some visualization software (e.g. This is because different arch-viz software may work entirely differently behind the scenes, leveraging different software components in processing user actions. Selecting software first, hardware secondįirst of all, when speaking of intentional hardware selection for arch-viz, in theory, selecting software should always precede selecting hardware. Since we won’t go into suggesting specific components or parts, chances are, you’ll be able to confidently apply the principles below in the years to come. In this post we’re establishing some rather general guidelines on hardware selection for arch-viz, in different segments and use cases. However, with a good understanding on which hardware does what, you can make better decisions on selecting hardware, optimizing your costs, and accelerating your workflow. As a general rule of thumb, when doing arch-viz, there aren’t many scenarios when you couldn’t benefit from an even more powerful machine than what you have.
Over the years arch-viz software evolved and became more accessible, however so do expectations grow higher, pushing hardware requirements farther, and keeping evolvement going. From the 1990’s, arch-viz artists hugely rely on their powerful machines, leveraging computer performance to serve their artwork. There may not be too many disciplines, whether creative or scientific, that were more hardware intensive than architectural visualization.
Twinmotion 2019 specs professional#
Thanks Ehsan Salarikhaniki for the extensive professional revision and proofreading! The post appeared first on Moduluc Blog 10th December 2019.
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