RTX A1000 for Blender
Ampere GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.
Last updated: May 26, 2026
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1,260
Entry-level speed — fine for learning and lighter scenes.
8 GB
Enough for moderate scenes; heavy assets may push against the limit.
2,304
Lower core count — adequate for lighter rendering workloads.
Ampere
Previous-generation design — still competitive, especially at higher VRAM tiers.
192 GB/s
Lower bandwidth may become a bottleneck in texture-heavy or complex scenes.
1462 MHz
Lower clock speed — typical of older or workstation-class GPUs.
OptiX, CUDA
OptiX is typically the fastest option; CUDA provides a reliable fallback.
50 W
Low power — easy to cool and efficient for smaller builds.
2024
More technical details
Core specs
- Tensor cores: 72
- RT cores: 18
- Base clock: 727 MHz
- Process size: 8 nm
Memory specs
- Memory type: GDDR6
- Memory bus: 128-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 A1000 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
- Ampere architecture
- 8 nm process size
- Workstation-grade stability
- Efficient performance with 2304 CUDA cores
- 72 Tensor cores for AI-driven tasks
- 18 RT cores for enhanced ray tracing capabilities
Tradeoffs to know
- Limited to 8 GB VRAM, which may be restrictive for large scenes
- Not the latest consumer-grade performance
Who should choose it
- Ideal for moderate 3D rendering tasks
- Efficient power consumption with 8 nm process
- Workstation-grade stability
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