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Workstations for Redshift

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Puget Labs Certified

These hardware configurations have been developed and verified through frequent testing by our Labs team. Click here for more details.

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Redshift Workstation

Multi GPU Workstation

CPU AMD Ryzen 7 7700X AMD Threadripper PRO 5955WX
GPU(s) NVIDIA GeForce RTX 4080 16GB 2x NVIDIA GeForce RTX 4090 24GB
Puget’s Take
Puget’s Take

Mid tower system

1 or 2 high performance video cards

Full tower system

Up to 4 high performance video cards

Price as Configured
Price as Configured



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Customer Testimonials

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Corridor Digital

“Across the board, all of our computers are so good that we don’t have to think about them. And that’s the point! The moment you start having to think about whether or not the tool you’re using is going to work for you, it’s already over!

Niko Pueringer at Corridor Digital

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Close-up computer rendering of exercise equipment

Johnson Health Tech

Johnson primarily works with SOLIDWORKS for 3D Production alongside software packages Maya and V-Ray to bring life to their marketing campaigns.

“So far [our Puget Systems workstation] has been a workhorse for rendering and simulation.”

– Clayton Krause at Johnson Health Tech

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Looking for more? View all our rendering case studies.

Redshift Workstation FAQ

Is Redshift a CPU or GPU based rendering engine?

Redshift is a fully GPU-based rendering engine. This means that the video cards (or GPUs) in your system are what impacts how long renders take to complete, rather than the CPU.

Does Redshift support multiple GPUs? Do they need to be in SLI?

Yes! Redshift scales very well with multiple cards and can significantly improve your render times. However, since it is using the cards for compute purposes they do not need to be in SLI mode. In fact, SLI can sometimes cause problems so we recommend leaving it disabled if possible.

Is it better to spend money on a higher number of total GPUs, or more powerful GPUs, for Redshift?

From a pure cost/performance perspective, it is almost always better to use a higher number of more affordable GPUs rather than using one or two more expensive GPUs. However, the downside to this approach is that your workstation will be physically larger, louder, hotter, and use more power than a system with fewer, but more powerful cards. In addition, if your renders require a higher amount of VRAM (video card memory) you may be forced into using more expensive cards that have more VRAM.

Can I mix and match different models of video cards for Redshift?

As long as each card is supported, Redshift does allow you to mix and match different models of video cards. We do this for some customers who need a primary Quadro video card due to a different program’s hardware requirements, but want to utilize GeForce cards to improve rendering performance. However, the more different the cards (different architectures, different versions of CUDA, etc.) the larger the chance of errors occurring. Also note that if the cards have different amount of VRAM you will be limited to the smallest amount.

Do I have to use NVIDIA cards for Redshift or can I use AMD?

Redshift currently utilizes CUDA which is proprietary to NVIDIA video cards. At the moment, it does not support AMD GPUs or Intel integrated graphics.

Will a more powerful CPU help at all in Redshift?

A faster CPU will allow you to extract mesh data, load textures, and prepare scene data more quickly, but it will make no impact on how long it takes each individual render to complete. We recommend going for a high clock speed CPU without worrying about core count – and without spending too much money there, instead focusing your budget on more powerful GPUs (and/or more of them).

Do I need to use a Quadro card for Redshift or is GeForce okay?

NVIDIA’s professional GPUs, formerly known as “Quadro” cards, work just fine for Redshift – but for the majority of the users they are not worth the much higher price. From a performance perspective GeForce cards are just as fast while being many times cheaper. Due to the large difference in cost, with the same budget you can generally get faster rendering performance by sticking with GeForce cards – at least up to a point.

However, there are certain times where you may want to use “professional” cards. If you need more VRAM than what is available on the GeForce cards, RTX A-series cards have up to twice the VRAM which allows for much higher resolution and detailed scenes to be rendered without running out of video memory. They are also slightly more reliable long-term since they are designed to operate under heavy load for extended periods of time. If those factors are a concern for you, simply select that type of cards on the configure page instead.

How much system RAM do I need for Redshift?

Since Redshift uses the video card’s memory (called VRAM), you do not actually need much system RAM. However, we generally recommend a minimum of 32GB for our rendering workstations. If you tend to have several different applications open and running at the same time – like Maya, Cinema 4D, After Effects, etc. – then you might want 64GB or even more.

Why Choose Puget Systems?

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Built specifically for you

Rather than getting a generic workstation, our systems are designed around your unique workflow and are optimized for the work you do every day.

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We’re Here, Give Us a Call!

We make sure our representatives are as accessible as possible, by phone and email. At Puget Systems, you can actually talk to a real person!

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Fast Build Times

By keeping inventory of our most popular parts, and maintaining a short supply line to parts we need, we are able to offer an industry leading ship time.

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Lifetime Labor & Tech Support

Even when your parts warranty expires, we continue to answer your questions and even fix your computer with no labor costs.
Click here for even more reasons!