TITAN RTX for Blender
High-end Turing GPU built for large Blender scenes, heavier assets, and very fast Cycles rendering.
Last updated: May 26, 2026
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3,218
Entry-level speed — fine for learning and lighter scenes.
24 GB
Plenty of room for large scenes, dense geometry, and 4K–8K textures.
4,608
Lower core count — adequate for lighter rendering workloads.
Turing
Older architecture — introduced hardware ray tracing for NVIDIA GPUs.
672 GB/s
Moderate bandwidth — sufficient for standard rendering workloads.
1770 MHz
Lower clock speed — typical of older or workstation-class GPUs.
OptiX, CUDA
OptiX is typically the fastest option; CUDA provides a reliable fallback.
280 W
Moderate power needs — standard workstation PSU and cooling should be fine.
2018
More technical details
Core specs
- Tensor cores: 576
- RT cores: 72
- Base clock: 1350 MHz
- Process size: 12 nm
Memory specs
- Memory type: GDDR6
- 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 TITAN RTX 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
- 24 GB GDDR6 VRAM
- Turing Architecture
- 12 nm process size
- High memory bandwidth of 672 GB/s
- 4608 CUDA cores for enhanced parallel processing
- 72 RT cores for real-time ray tracing
Tradeoffs to know
- Released in 2018, newer models may offer better performance
- Higher power consumption compared to newer GPUs
Who should choose it
- Need for extensive VRAM for complex scenes
- Desire for a well-rounded GPU with strong CUDA and OPTIX performance
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