TITAN V for Blender

Blender score 1,835
Average speed
Solid VRAM
Prosumer GPU

Volta GPU aimed at mid-sized Blender scenes, everyday rendering, and strong value without flagship pricing.

Last updated: May 26, 2026

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Blender benchmark score

1,835

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

VRAM

12 GB

Adequate for mid-complexity scenes; may need care with very large textures.

CUDA cores

5,120

Solid core count for most Blender rendering tasks.

Architecture

Volta

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

Memory bandwidth

651.3 GB/s

Moderate bandwidth — sufficient for standard rendering workloads.

Boost clock

1455 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

250 W

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

Release year

2017

More technical details

Core specs

  • Tensor cores: 640
  • Base clock: 1200 MHz
  • Process size: 12 nm

Memory specs

  • Memory type: HBM2
  • Memory bus: 3072-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 1,835
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
29.71s
21.57s
Monster
22.98s
13.43s
Classroom
46.27s
33.2s
0s55s

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 TITAN V 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

  • Volta architecture
  • HBM2 memory type
  • High memory bandwidth of 651.3 GB/s
  • 5120 CUDA cores for parallel processing
  • 640 Tensor cores for AI-driven tasks
  • Impressive memory bandwidth suitable for complex scenes

Tradeoffs to know

  • Only 12 GB of VRAM, which may not meet the minimum recommended for some professionals
  • Released in 2017, so newer models may offer better performance

Who should choose it

  • Ideal for users who prioritize core count and memory bandwidth.
  • Suitable for tasks that benefit from AI-driven processing.

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