RTX 5090 vs RTX 5090 D for Blender
Compare RTX 5090 vs RTX 5090 D for Blender: benchmarks, VRAM, render-time estimates, power, and upgrade fit. RTX 5090 leads the Blender benchmark score by 0.6%.
Fastest in Blender
RTX 5090 (15,016.75 score)
| Spec | ||
|---|---|---|
| Performance | ||
| Blender benchmark score | 15,016.75 | 14,931.27 -1% |
| CUDA cores | 21,760 | 21,760 |
| Boost clock | 2407 MHz | 2407 MHz |
| RT cores | RT cores: 170 | RT cores: 170 |
| Tensor cores | Tensor cores: 680 | Tensor cores: 680 |
| Memory | ||
| VRAM | 32 GB | 32 GB |
| Memory bandwidth | 1,790 GB/s | 1,790 GB/s |
| Memory type | GDDR7 | GDDR7 |
| Memory bus | 512-bit | 512-bit |
| Platform | ||
| Architecture | Blackwell 2.0 | Blackwell 2.0 |
| Render support | OptiX, CUDA | OptiX |
| TDP | 575 W | 575 W |
| Release year | 2025 | 2025 |
Benchmark comparison
Estimated seconds to render one frame of each standard Blender benchmark scene. Lower is faster.
These timings are derived from Blender Open Data benchmark medians and should be treated as comparative estimates, not guaranteed real-project render times.
Which GPU makes more sense?
RTX 5090 is the stronger Blender rendering pick here, and both cards have the same VRAM capacity.
Blender render speed
RTX 5090 leads by 0.6% in the Renderjuice Blender benchmark model (15,017 vs 14,931). For render-time-first decisions, that is the card to prioritize.
VRAM and scene headroom
Both cards have 32 GB of VRAM, so the decision is less about scene capacity and more about render speed, architecture, power draw, and price.
Power and cooling
Both cards list a 575 W TDP, so power draw is not the deciding spec on paper. Cooling, case airflow, and actual board partner limits still matter.
Upgrade decision
RTX 5090 is the straightforward performance pick, while RTX 5090 D needs a price, power, availability, or compatibility advantage to make more sense.
Quick take on RTX 5090 vs RTX 5090 D
RTX 5090 leads the Blender benchmark score by 0.6%.
Fastest in Blender: RTX 5090 15,016.75 score.
Both GPUs ship with 32 GB of VRAM, so the tradeoff is more about speed, architecture, and efficiency than memory capacity.
If you are deciding between these cards for Blender, focus first on Blender benchmark score, VRAM capacity, memory bandwidth, and whether your scenes are likely to benefit more from raw speed or extra memory headroom. The comparison table above keeps those tradeoffs in one place.