NVIDIA GeForce GTX TITAN
Kepler GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: March 31, 2026
393
Entry-level speed — fine for learning and lighter scenes.
6 GB
Limited — best for simpler scenes and lighter workflows.
2,688
Lower core count — adequate for lighter rendering workloads.
Kepler
Older architecture — check benchmark scores for a practical performance picture.
288.4 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.
250 W
Moderate power needs — standard workstation PSU and cooling should be fine.
2013
More technical details
Core specs
- Base clock: 836 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 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
- Kepler architecture
- 2688 CUDA cores
- 28 nm process size
- Strong performance for its generation
- High memory bandwidth of 288.4 GB/s
Tradeoffs to know
- Limited 6 GB VRAM for modern Blender projects
- Older architecture may not support the latest features
Who should choose it
- Suitable for legacy Blender projects
- Good option for budget-conscious users working with older software
Compare GTX TITAN to…
Pick another GPU to see a side-by-side comparison.
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