NVIDIA GeForce GTX TITAN Z
Kepler GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: March 31, 2026
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 gives a compact estimate of how this GPU handles Blender benchmark scenes, so you can compare practical rendering speed without reading raw benchmark tables.
These timings are derived from Blender Open Data benchmark medians and should be treated as comparative estimates, not guaranteed real-project render times.
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
Compare GTX TITAN Z to…
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