CPU vs GPU Rendering: Picking the Right Hardware for 3D Work
When CPU rendering still earns its keep, when GPUs win outright, and how we spec workstations for production 3D at MEEXR.
For most of the last decade, "CPU vs GPU rendering" was a heated argument. It mostly isn't anymore. GPUs win in the cases that matter most for product visualization work, and CPUs hold on to a shrinking list of niches where they're still the better tool.
Here's how we think about it when we spec a workstation or pick a render engine for a project.
How GPU rendering got here
Ten years ago, GPUs were great at rasterized realtime graphics (games) and bad at path-traced rendering (production). VRAM was tight, render-element support was missing, and reliability on large scenes was poor.
CUDA and OptiX changed that. Modern GPU renderers like Redshift, Octane, Cycles and V-Ray GPU now match CPU-engine feature parity for the things most product work actually needs: PBR materials, render passes, motion blur, depth of field, volumetrics. They do it 5–20× faster on the same scene.
The catalyst was VRAM. 24 GB on the 3090 cleared the bar for most product scenes. 32 GB on the 5090 clears it for almost everything we do.
When CPU rendering still wins
GPUs aren't the right answer everywhere. Three cases still pull us back to CPU:
- Scenes that exceed VRAM. Complex environments with high-res displacement, dense forests, large city scenes: anything where the asset budget blows past 32 GB. Out-of-core GPU rendering helps but isn't always enough.
- Features the GPU path hasn't caught up on. Arnold's still the canonical example. Specific BSDFs, certain volumetric tricks, niche AOVs: some show studios stay on CPU because their pipeline depends on features only the CPU engine exposes.
- Render-farm economics. If you already own a rack of CPU nodes from a previous era, the marginal cost of using them is low. Replacing them with GPU nodes is a capital decision, not just a technical one.
For product visualization specifically, the work we do most, almost none of these apply. We're on GPU.
What the speed difference actually looks like
Order-of-magnitude examples from our own work, not synthetic benchmarks:
- A 4K product hero shot with full PBR materials, area lighting, and post-DOF: ~25 minutes on a Threadripper 5995WX, ~3 minutes on an RTX 5090.
- A 120-frame animation at 1080p: roughly 8 hours on the same Threadripper, ~45 minutes on the 5090.
- A 60-frame turntable for a configurator: 90 minutes vs 6.
Those gaps are the difference between iterating with a client in a single afternoon versus over a week.
How we actually spec workstations
Our default rendering station today:
- GPU: RTX 4090 or 5090. The 4090 is still the best value if you can find one used.
- CPU: Ryzen 9 7950X or 9950X. Fast single-thread for the DCC, plenty of cores for prep, export, and simulation.
- RAM: 64 GB minimum, 128 GB for animation work.
- Storage: NVMe scratch + bulk SSD for assets.
For most 3D studios doing product visualization, that's the bracket where the price/performance curve actually flattens. Spending more rarely pays back on the render side.
The bottom line
GPU rendering wins for almost all product visualization, motion graphics, and short-form animation work. CPU rendering holds the line in heavy VFX, very large scenes, and pipelines locked into CPU-only features.
If you're picking hardware for a 3D rendering studio in 2025, start with the best GPU you can afford and budget CPU for everything around the render: DCC responsiveness, simulation, comp, video.
Related reading
- Head-to-head comparison of the current top-end cards: RTX 5090 vs 4090 vs 3090
- Picking a render engine for your pipeline: Top rendering software for product visualization
- What we render with this hardware: Product rendering services at MEEXR
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