RTX 2060 SUPER for Blender
Turing GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: May 26, 2026
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2,205
Entry-level speed — fine for learning and lighter scenes.
8 GB
Enough for moderate scenes; heavy assets may push against the limit.
2,176
Lower core count — adequate for lighter rendering workloads.
Turing
Older architecture — introduced hardware ray tracing for NVIDIA GPUs.
448 GB/s
Moderate bandwidth — sufficient for standard rendering workloads.
1650 MHz
Lower clock speed — typical of older or workstation-class GPUs.
OptiX, CUDA
OptiX is typically the fastest option; CUDA provides a reliable fallback.
175 W
Relatively efficient — manageable in most desktop builds.
2019
More technical details
Core specs
- Tensor cores: 272
- RT cores: 34
- Base clock: 1470 MHz
- Process size: 12 nm
Memory specs
- Memory type: GDDR6
- Memory bus: 256-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 RTX 2060 SUPER 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
- Turing architecture
- 12 nm process node
- 8 GB GDDR6 memory
- Efficient rendering with 2176 CUDA cores
- Enhanced AI capabilities with 272 Tensor cores
- Real-time ray tracing with 34 RT cores
Tradeoffs to know
- Limited to 8 GB VRAM, which may restrict complex scene rendering
- Older generation GPU, released in 2019
Who should choose it
- Cost-effective solution for intermediate Blender projects
- Solid performance for its generation
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