Quadro RTX 5000 for Blender

Blender score 2,101
Average speed
Solid VRAM
Workstation GPU

Turing GPU suited to serious Blender work, strong Cycles performance, and complex production scenes.

Last updated: May 26, 2026

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Blender benchmark score

2,101

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

VRAM

16 GB

Comfortable for most production work and complex asset sets.

CUDA cores

3,072

Lower core count — adequate for lighter rendering workloads.

Architecture

Turing

Older architecture — introduced hardware ray tracing for NVIDIA GPUs.

Memory bandwidth

448 GB/s

Moderate bandwidth — sufficient for standard rendering workloads.

Boost clock

1815 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

2018

More technical details

Core specs

  • Tensor cores: 384
  • RT cores: 48
  • Base clock: 1620 MHz
  • Process size: 12 nm

Memory specs

  • Memory type: GDDR6
  • Memory bus: 256-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 2,101
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
29.14s
116.76s
Monster
18.96s
58.33s
Classroom
39.04s
183.22s
0s215s

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 5000 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

  • Turing architecture with dedicated RT and Tensor cores
  • 16 GB GDDR6 memory for handling large projects
  • Efficient rendering with 3072 CUDA cores
  • Enhanced AI capabilities with 384 Tensor cores

Tradeoffs to know

  • Older architecture compared to the latest RTX series
  • Might not match the performance of newer consumer-grade GPUs like the RTX 4090

Who should choose it

  • Need for high VRAM in professional Blender projects
  • Reliable performance with Turing architecture

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