GTX TITAN Z for Blender
Kepler GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: May 26, 2026
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450
Entry-level speed — fine for learning and lighter scenes.
6 GB
Limited — best for simpler scenes and lighter workflows.
2,880
Lower core count — adequate for lighter rendering workloads.
Kepler
Older architecture — check benchmark scores for a practical performance picture.
336 GB/s
Lower bandwidth may become a bottleneck in texture-heavy or complex scenes.
876 MHz
Lower clock speed — typical of older or workstation-class GPUs.
CUDA
CUDA provides the primary GPU rendering path in Blender Cycles.
375 W
Moderate power needs — standard workstation PSU and cooling should be fine.
2014
More technical details
Core specs
- Base clock: 705 MHz
- Process size: 28 nm
Memory specs
- Memory type: GDDR5
- 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.
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 sourceIs GTX TITAN Z 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
- Dual-GPU setup with Kepler architecture
- High memory bandwidth of 336 GB/s
- Features 2880 CUDA cores for parallel processing
- Operates with a base clock of 705 MHz and can boost up to 876 MHz
Tradeoffs to know
- Limited VRAM by modern standards
- Older 28 nm process size
Who should choose it
- Ideal for legacy projects or less demanding Blender scenes
- Offers a high memory bandwidth for its generation
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