GPU Rendering

GPU rendering enables creative professionals to use their graphics card (instead of the CPU) for rendering. This can significantly accelerate rendering, because the latest GPUs are designed for substantial processing. When searching for the ideal GPU rendering system, you’ll find these state-of-the-art GPUs and more inside BOXX desk side and rack-mounted systems purpose-built for GPU rendering.

Whether you’re converting from CPU rendering, in the process of upgrading your current GPU rendering systems, or new to dedicated rendering in general, BOXX offers a wide variety of reliable, GPU rendering solutions tailored to your specific workflow and requirements, as well as expert information essential to making an informed decision.   

 

Select Your Software

The world’s first unbiased, spectrally correct GPU render engine OctaneRender® delivers incredible quality and speed for 3D design, CAD, and motion media workflows.

Octane Render

A powerful GPU-accelerated renderer designed for high-end, production rendering, Redshift integrates seamlessly into Autodesk 3ds Max, Maya, Cinema 4D, and other creative workflows.

Redshift

From architectural visualization and product design, to feature film and television VFX, V-Ray is one of the world’s most popular GPU rendering engines for creative professionals.

V-Ray
 

Local or Network Rendering

An important rendering consideration is whether to run your jobs locally or on the network. The final decision can be personal, driven by costs or standards, or be the optimal choice for your organization. Before you decide, consider the following pros and cons:

Local rendering provides a known, reliable, dedicated rendering resource which may be ideal if you render multiple times per day and your jobs are not too large. However, a desk side system limits the number of GPUs or CPU cores and may be too loud.

Network rendering is easily expandable and accelerates large scale, detailed renders. Although rack-mounted rendering systems are specialized and lack some of the capabilities of a desk side workstation, they easily make up for it in sheer density and power. Upfront system costs are also higher, but a network render farm holds the advantage in resource efficiency.

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Network Render Managers

When multiple users require rendering resources, a network render manager may be essential. These standalone software packages allow you to manage render sequences and prioritize jobs through pausing and resuming. They also support distributing render jobs across multiple desk side or rackmount systems. The management and automation provided by network render managers can be extremely beneficial in accelerating VFX production.

While free, open-source options like Alfanasy are available, most pros prefer to use more powerful, full-featured solutions like PipelineFX Qube! Or AWS Thnkbox Deadline.

NVIDIA Quadro RTX Enabled Rendering Software

NVIDIA Quadro RTX technology debuted in late 2018 and ISVs are still making progress releasing versions that take full advantage of the new RTX cores which complement CUDA and Tensor cores. Turing technology real-time ray-tracing offers a new level of realism, while NVLink Bridge doubles effective GPU memory (up to 96 GBs) for unprecedented performance.

See an updated list of NVIDIA Quadro RTX enabled applications

The NVIDA RTX Server Value

If you choose a rack-mounted GPU rendering system, consider NVIDA RTX Server. This solution brings you a validated, proven solution for systems equipped with NVIDIA Quadro RTX 6000 or 8000 GPUs.

RTX Server supports GPU rendering by combining NVIDIA software, such as NVIDIA OptiX and CUDA-X AI with third-party RTX-enabled software to render final frames and produce photo-realistic images faster than ever before. Click here to learn more.

Minimum Configurations: Multitasking or GPU Rendering Only

If you select a rack-mounted system, you are most-likely using it exclusively for GPU rendering. Even if you buy a desk side system, you may intend for GPU rendering to be its primary function. Regardless of your situation, in order to afford the most effective GPUs, it’s wise not to overspend on other technologies. This said, for GPUs to perform their best, you need to meet basic configuration standards.