RTX 3090 for Blender

Blender score 5,825
Fast
High VRAM
RTX 30 series

High-end Ampere GPU built for large Blender scenes, heavier assets, and very fast Cycles rendering.

Last updated: May 26, 2026

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Blender benchmark score

5,825

Solid mid-range speed for everyday rendering and moderate scenes.

VRAM

24 GB

Plenty of room for large scenes, dense geometry, and 4K–8K textures.

CUDA cores

10,496

High core count for strong parallel rendering throughput.

Architecture

Ampere

Previous-generation design — still competitive, especially at higher VRAM tiers.

Memory bandwidth

936.2 GB/s

Strong bandwidth for most Blender rendering scenarios.

Boost clock

1.70 GHz

Lower clock speed — typical of older or workstation-class GPUs.

Render support

OptiX, CUDA

OptiX is typically the fastest option; CUDA provides a reliable fallback.

TDP

350 W

Moderate power needs — standard workstation PSU and cooling should be fine.

Release year

2020

More technical details

Core specs

  • 82 RT Cores (2nd Gen)
  • 328 Tensor Cores (3rd Gen)

Memory specs

  • 24 GB GDDR6X
  • 384-bit Memory Interface
  • 19.5 Gbps Memory Speed

Benchmark performance

This chart estimates how many seconds this GPU takes to render one frame of each standard Blender benchmark scene, so you can compare practical rendering speed at a glance.

Blender score 5,825
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
10.45s
18.25s
Monster
6.61s
9.69s
Classroom
15.08s
25.61s
0s30s

These are single-frame estimates derived from Blender Open Data benchmark medians at the scene sample counts, not full-animation render times or guarantees for every real project.

View Blender Open Data source

Is RTX 3090 good for Blender?

A concise editorial read on where this GPU looks strong, the tradeoffs to keep in mind, and who it suits best.

What stands out

  • Massive 24GB GDDR6X VRAM for handling the largest and most complex scenes.
  • 2nd Gen Ray Tracing Cores providing high-quality lighting effects.
  • 3rd Gen Tensor Cores supporting AI-powered features like denoising.
  • NVLink support for combining multiple GPUs' memory.
  • Still competitive performance at a now-lower price point.
  • Excellent rendering speeds for heavy-duty projects.

Tradeoffs to know

  • Higher power consumption compared to newer models.
  • Lacks some of the latest generation's optimizations.
  • Large size may not fit all systems.

Who should choose it

  • Extensive VRAM supports the most demanding projects.
  • Proven performance in professional 3D workflows.
  • Now available at a more accessible price point.
  • Supports NVLink for memory pooling with multiple GPUs.
  • Remains a powerful option despite newer releases.

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