GeForce RTX 2070 Super
Turing GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: March 31, 2026
2,363
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 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 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
Compare RTX 2070 Super to…
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