V-Ray 5 for SketchUp Education Student - 1-year term license (12 Monate)
- Plattform: Mac/Win
- Sprache: engl. Lieferzeit 1 - 3 Tage / Lieferung per E-Mail
- Art.Nr.: 33953
Seeing your Sketchup designs in real-time has never been easier. Now with V-Ray Vision*, you can visualize your designs in real-time while you work in SketchUp. Move around your model, apply materials, set up lights and cameras - all in a live real-time view of your scene.
*V-Ray Vision for macOS will be supported in an upcoming release.
Rendering thats as real as it gets.
With true-to-life lights, cameras, and materials, rendering with V-Ray is as real as it gets. For any project, you can see exactly how it will look. It's as close you can come to the real thing before its built.
Get a headstart on your next project.
V-Ray comes with hundreds of ready-to-render materials that you can apply to any scene and access to an extensive library of video tutorials, free technical support, and helpful forums. V-Ray has one of the largest visualization communities, with a world of community-created content thats readily available.
V-Ray is the ultimate power-up for SketchUp.
V-Ray and SketchUp are the perfect team. SketchUp is the world's most widely used 3D modeling software for architecture and design. And V-Ray is the world's #1 rendering software for architectural visualization. The two together are the perfect combo to take your designs to the next level.
- SketchUp 2017, 2018, 2019, 2020 and 2021
- Processor: 1st Gen Intel® Core or compatible processor with SSE4.2 support (x64)
- RAM: Minimum 8 GB RAM, recommended 16 GB RAM
- Hard Disk Space: minimum 2GB, recommended 12GB (includes additional downloadable content)
- TCP/IP: Only IPv4 is supported. IPv6 is currently not supported
- Windows® 8.1, Windows 10, 64-bit only
- Maxwell-, Pascal-, Volta- and Turing-based NVIDIA card(s) with latest video driver or at least version 411.31
For more info, see GPU Rendering.
- macOS 10.10.x or higher
- V-Ray GPU works only with C++/CPU devices under macOS. V-Ray GPU can still be used in distributed rendering where a macOS machine runs the CUDA engine on a CPU device together with Windows/Linux machine(s) running CUDA engine on GPU device(s).