Quadro RTX 8000 for Blender

Blender score 2,888
Average speed
High VRAM
Workstation GPU

High-end Turing 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

2,888

Entry-level speed — fine for learning and lighter scenes.

VRAM

48 GB

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

CUDA cores

4,608

Lower core count — adequate for lighter rendering workloads.

Architecture

Turing

Older architecture — introduced hardware ray tracing for NVIDIA GPUs.

Memory bandwidth

672 GB/s

Moderate bandwidth — sufficient for standard rendering workloads.

Boost clock

1770 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

260 W

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

Release year

2018

More technical details

Core specs

  • Tensor cores: 576
  • RT cores: 72
  • Base clock: 1395 MHz
  • Process size: 12 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 2,888
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
20.19s
25.36s
Monster
14.67s
14.14s
Classroom
27.01s
39.69s
0s50s

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 Quadro RTX 8000 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

  • 48 GB of GDDR6 VRAM
  • Turing architecture with 12 nm process size
  • High memory bandwidth of 672 GB/s
  • Exceptional performance in complex Blender scenes
  • Efficient rendering with 4608 CUDA cores
  • Enhanced ray tracing capabilities with 72 RT cores

Tradeoffs to know

  • Older generation GPU
  • Higher power consumption compared to newer models

Who should choose it

  • Need for extensive VRAM for large projects
  • Preference for a GPU with proven professional performance

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