RTX A5000 for Blender

Blender score 4,623
Fast
High VRAM
Workstation GPU

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

4,623

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

8,192

Solid core count for most Blender rendering tasks.

Architecture

Ampere

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

Memory bandwidth

768 GB/s

Strong bandwidth for most Blender rendering scenarios.

Boost clock

1695 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

230 W

Relatively efficient — manageable in most desktop builds.

Release year

2021

More technical details

Core specs

  • Tensor cores: 256
  • RT cores: 64
  • Base clock: 1170 MHz
  • Process size: 8 nm

Memory specs

  • Memory type: GDDR6
  • 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 4,623
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
12.9s
22.82s
Monster
8.48s
12.1s
Classroom
18.82s
31.78s
0s40s

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 A5000 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

  • Ampere architecture with enhanced CUDA cores
  • 24 GB of GDDR6 memory for large projects
  • High memory bandwidth of 768 GB/s
  • Efficient rendering with 8192 CUDA cores
  • Advanced ray tracing capabilities with 64 RT cores
  • Enhanced AI performance with 256 Tensor cores

Tradeoffs to know

  • Higher power consumption due to workstation-grade specs
  • May be overkill for smaller projects or less demanding tasks

Who should choose it

  • Need for high VRAM capacity
  • Desire for advanced ray tracing capabilities
  • Preference for workstation-grade performance

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