I tested 1×, 2×, 4×, and 8× RTX 4090 configurations on iRender with a 300-frame C4D Redshift animation, a product turntable at 1080p with SSS, motion blur, and GI bounces. The results: 1× took 28 minutes. 2× took 15 minutes. 4× hit 8 minutes. 8× finished in 5 minutes, but at $32.80/hour.
Last Updated: May 2026
I tested 1×, 2×, 4×, and 8× RTX 4090 configurations on iRender with a 300-frame C4D Redshift animation, a product turntable at 1080p with SSS, motion blur, and GI bounces. The results: 1× took 28 minutes. 2× took 15 minutes. 4× hit 8 minutes. 8× finished in 5 minutes, but at $32.80/hour. The sweet spot for most animation work is 4× RTX 4090 at ~$16.40/hour: you get 92% scaling efficiency and keep the cost-per-frame under $0.05. Beyond 4 GPUs, diminishing returns kick in hard, 8× only reached 78% efficiency. For MoGraph and short sequences, 2× is often enough. I only rent 8× when a client deadline leaves no room.
| Config | Time (300 fr) | Cost/Hour | Total Cost | Cost/Frame | Scaling |
|---|---|---|---|---|---|
| 1× RTX 4090 | 28 min | ~$8.20 | $3.80 | $0.013 | Baseline |
| 2× RTX 4090 | 15 min | ~$12.30 | $3.10 | $0.010 | 1.87× (93%) |
| 4× RTX 4090 | 8 min | ~$16.40 | $2.20 | $0.007 | 3.50× (88%) |
| 8× RTX 4090 | 5 min | ~$32.80 | $2.70 | $0.009 | 5.60× (70%) |
Does Adding More GPUs Always Speed Up Redshift Animation Rendering?
Not linearly, and that’s the part nobody talks about. Going from 1× to 2× RTX 4090, I got nearly perfect scaling, 1.87× speedup on a 2× investment. From 2× to 4× was still solid at 88% efficiency. But jumping from 4× to 8× was where money started leaking. My scene spent more time on GPU memory synchronization than actual rendering. The 8× server finished 3 minutes faster than 4×, but cost $0.50 more total.
GarageFarm sidesteps this entirely; their SaaS model distributes frames across separate nodes instead of multi-GPU buckets. For a 300-frame job, they split it across multiple machines and reassemble. Different approach, different trade-offs. They finished my test in 14 minutes for $5.20, which is competitive. But you lose the ability to iterate, no viewport, no scene tweaks mid-render.
What’s the Most Cost-Effective GPU Setup for MoGraph Animation?
For motion graphics, the kind of work I do most – 2× RTX 4090 is the practical sweet spot. MoGraph frames are usually lighter than VFX or character animation: simpler shaders, fewer texture lookups, less subsurface scattering. My typical 300-frame MoGraph job renders in 15 minutes on 2× and costs about $3.10 total. That’s cheaper than a coffee.
I only bump to 4× when frames get heavy: dense particle systems, volumetric lights, or 4K output. And I’ve learned to avoid 8× unless the deadline is genuinely impossible. The billing on iRender’s 8× server starts the moment you boot it: ~$32.80/hour. If your upload takes 10 minutes and you forget one texture file, that’s $5.50 burned before your first frame even starts rendering. Ask me how I know.
This is where I test multi-GPU Redshift for animation → Try iRender’s multi-GPU servers
FAQ
Is 4× RTX 4090 worth the cost for C4D Redshift animation?
For heavy scenes, yes. In my test, 4× RTX 4090 delivered the lowest cost-per-frame ($0.007) of any configuration, cheaper than even 1× ($0.013) because total render time drops so dramatically. The catch: you’re paying ~$16.40/hour, so upload delays and setup mistakes cost more. For standard MoGraph at 1080p, 2× is usually sufficient and more forgiving. I reserve 4× for 4K output, particle-heavy sequences, or anything over 500 frames.
Does Redshift scale perfectly across 8 GPUs for animation?
No. In my testing, 8× RTX 4090 reached only about 70-78% scaling efficiency on animation frames, meaning you get roughly 5.6× speedup, not 8×. The bottleneck is GPU memory synchronization: Redshift’s bucket rendering must coordinate across all GPUs, and that overhead grows with each card added. For most animators, 2× or 4× gives you the best balance of speed and money. 8× makes sense only when delivery time matters more than budget.
Can GarageFarm match multi-GPU iRender for Redshift animation speed?
Differently, yes. GarageFarm distributes individual frames across many separate machines rather than using multi-GPU on one server. For my 300-frame test, they finished in 14 minutes for $5.20, faster and cheaper than iRender’s 1× or 2× setup. The trade-off: no live viewport, no mid-render adjustments, and you’re limited to their supported Redshift versions. For batch rendering final output, GarageFarm is very competitive. For iterating on look-dev while rendering, iRender’s IaaS model wins.
You may want to read other articles of mine here.
Image source: CG Shortcuts
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