GeForce RTX 2080 SUPER
Turing GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: March 31, 2026
2,408
Entry-level speed — fine for learning and lighter scenes.
8 GB
Enough for moderate scenes; heavy assets may push against the limit.
3,072
Lower core count — adequate for lighter rendering workloads.
Turing
Older architecture — introduced hardware ray tracing for NVIDIA GPUs.
495.9 GB/s
Moderate bandwidth — sufficient for standard rendering workloads.
1815 MHz
Lower clock speed — typical of older or workstation-class GPUs.
OptiX, CUDA
OptiX is typically the fastest option; CUDA provides a reliable fallback.
250 W
Moderate power needs — standard workstation PSU and cooling should be fine.
2019
More technical details
Core specs
- Tensor cores: 384
- RT cores: 48
- Base clock: 1650 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 2080 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 with 3072 CUDA cores
- 12 nm process size enhancing efficiency
- Boost clock of 1815 MHz for faster processing
- 495.9 GB/s memory bandwidth supporting high-speed data transfer
Tradeoffs to know
- Limited to 8 GB VRAM, which may not suffice for large projects
- Not the latest generation, lacking some modern features
Who should choose it
- Reliable rendering performance for mid-range projects
- Cost-effective option for Blender users not requiring the latest features
Compare RTX 2080 SUPER to…
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