RTX 3090 Ti for Blender

Blender score 6,062
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

6,062

Strong performer for most Blender workloads and mid-to-heavy scenes.

VRAM

24 GB

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

CUDA cores

10,752

High core count for strong parallel rendering throughput.

Architecture

Ampere

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

Memory bandwidth

1,010 GB/s

Very high throughput — keeps up with complex shading and large texture workloads.

Boost clock

1860 MHz

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

450 W

High power draw — plan for a strong PSU and good airflow.

Release year

2022

More technical details

Core specs

  • Tensor cores: 336
  • RT cores: 84
  • Base clock: 1560 MHz
  • Process size: 8 nm

Memory specs

  • Memory type: GDDR6X
  • Memory bus: 384-bit

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 6,062
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
10.13s
16.53s
Monster
6.29s
8.65s
Classroom
14.61s
22.02s
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 Ti 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

  • 24 GB of GDDR6X VRAM
  • Ampere architecture with 10752 CUDA cores
  • High memory bandwidth of 1010 GB/s
  • The RTX 3090 Ti excels in complex scene rendering, thanks to its ample VRAM and CUDA core count.
  • Its 8 nm process size contributes to efficient power consumption and heat management.

Tradeoffs to know

  • Higher power consumption compared to other models
  • Premium price point

Who should choose it

  • Ideal for professionals needing extensive VRAM for detailed projects
  • Excellent performance for rendering complex scenes

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