RTX 2070 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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2,361
Entry-level speed — fine for learning and lighter scenes.
8 GB
Enough for moderate scenes; heavy assets may push against the limit.
2,560
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.
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.
215 W
Relatively efficient — manageable in most desktop builds.
2019
More technical details
Core specs
- Tensor cores: 320
- RT cores: 40
- Base clock: 1605 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 2070 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
- 2560 CUDA cores
- 12 nm process size
- Good balance of performance and cost
- Solid memory bandwidth of 448 GB/s
Tradeoffs to know
- Limited to 8 GB of VRAM, which may be restrictive for complex scenes
- Not the latest generation, so may lack some advanced features
Who should choose it
- Cost-effective solution for mid-range rendering needs
- Reliable performance with 2560 CUDA cores
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