GTX 980 for Blender

Blender score 338
Entry-level speed
Light VRAM
GTX 9 series

Maxwell 2.0 GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.

Last updated: May 26, 2026

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Blender benchmark score

338

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

VRAM

4 GB

Limited — best for simpler scenes and lighter workflows.

CUDA cores

2,048

Lower core count — adequate for lighter rendering workloads.

Architecture

Maxwell 2.0

Older architecture — check benchmark scores for a practical performance picture.

Memory bandwidth

224.4 GB/s

Lower bandwidth may become a bottleneck in texture-heavy or complex scenes.

Boost clock

1216 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

165 W

Relatively efficient — manageable in most desktop builds.

Release year

2014

More technical details

Core specs

  • Base clock: 1127 MHz
  • Process size: 28 nm

Memory specs

  • Memory type: GDDR5
  • 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 338
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
238.61s
629.84s
Monster
105.58s
71.89s
Classroom
231.3s
171.16s
0s725s

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 GTX 980 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

  • Maxwell 2.0 architecture
  • 2048 CUDA cores
  • Solid performance for its generation
  • Efficient 28 nm process node

Tradeoffs to know

  • Limited VRAM for modern Blender projects
  • Outdated architecture compared to current GPUs

Who should choose it

  • Suitable for smaller, less complex Blender projects
  • Efficient power usage for its generation

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