Modern-day GPUs like the RTX 3090 now come with up to 24GB of VRAM, and server-grade offerings allow almost unlimited VRAM usage by using multiple GPUs to pool VRAM. However, with advances in GPU offerings, this issue has slowly become a lesser one. This means that rendering large scenes that require more on-demand memory to render would be out of the question for these GPUs. In the past, consumer and prosumer GPUs from Nvidia and AMD were limited to as low as 4-8GB of VRAM (Video Memory). Unlike CPU rendering, you can't simply purchase more VRAM when needed since VRAM is built directly into almost all GPU cards. How much VRAM is enough?Ī consideration that has made many 3D artists question the sustainability of GPU rendering is the memory limitations that consumer GPUs bring. These factors make it difficult to ignore the possibility that GPU rendering may permanently replace CPU-driven workflows in Maya. Modern GPU cards from Nvidia and AMD also now support many AI frameworks that are slowly being integrated into Maya for creators, like AI-driven de-noising, texture creation, and physics simulations. These days, anything from viewport rendering to tools like X-Gen or Nvidia’s OptiX Denoiser can take advantage of GPU acceleration to make not only your render times quicker but the creation process too. And with the speed and availability of GPU rendering farms, rendering times can be sufficiently cut to meet tight deadlines. GPU rendering is no longer on the back foot and is now at the forefront of rendering advancements. ![]() With a modern GPU, you can take advantage of new tools like the raytracing optimizations Nvidia has brought to RTX Series GPUs. CPUs are instead designed with fewer larger cores allowing only a couple of simultaneous tasks.Īdditionally, in the past five years, GPU rendering has outpaced the feature development of CPU-based rendering. ![]() GPUs are designed with many smaller compute units lending themselves to the many small calculations involved in raytracing. This means you can get a lot more bang for your buck with a high-end GPU vs a high-end CPU in the same price range if your goal is fast render times. While CPUs are well optimized for general use, they aren't especially fast at raytracing compared to GPUs. GPUs are known for being well optimized for rendering complex ray-traced environments. So what makes GPU rendering so popular? For starters, speed. If you need an online renderfarm service, or would like to make some comparisons yourself, sign up on our Maya render farm! New users get $50 of render credits to test the service, free of charge and without any need to commit. While this article focuses on the viability of GPU rendering for everyday use on local machines, many of the considerations discussed here also translate to using GPU nodes on third-party cloud render services. The amount of VRAM a GPU has should be a priority if regularly rendering complex scenes with many large texture maps. With modern GPUs supporting AI frameworks and the ability to use GPU acceleration for viewport rendering and tools like X-Gen or Nvidia’s OptiX Denoiser, it's difficult to ignore the possibility that GPU rendering may permanently replace CPU-driven workflows in Maya. ![]() To put it simply, GPU rendering has become a staple for Maya users due to its speed and new feature developments. But, as is the question with most tried-and-true methods, is GPU rendering worth the cost and effort? In this article, we look at GPU rendering for Maya users to see how it compares to other tools and if it's genuinely worth the cost. ![]() In the past decade of computer graphics, GPU rendering has become a staple of artists' workflows in almost every 3D pipeline, including Maya users.
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