GeForce RTX 2080
Turing GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: March 31, 2026
2,335
Entry-level speed — fine for learning and lighter scenes.
8 GB
Enough for moderate scenes; heavy assets may push against the limit.
2,944
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.
1710 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.
2018
More technical details
Core specs
- Tensor cores: 368
- RT cores: 46
- Base clock: 1515 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 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
- Real-time ray tracing with RT cores
- AI-enhanced graphics with Tensor cores
- Efficient rendering with CUDA and OPTIX support
- High memory bandwidth for smooth performance
Tradeoffs to know
- Limited to 8 GB VRAM, which may restrict extremely complex scenes
- Older generation compared to the latest RTX series
Who should choose it
- Affordable option for solid performance
- Supports advanced features like ray tracing and AI enhancements
Compare RTX 2080 to…
Pick another GPU to see a side-by-side comparison.
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