RTX 5000 Ada Generation for Blender
High-end Ada Lovelace GPU built for large Blender scenes, heavier assets, and very fast Cycles rendering.
Last updated: May 26, 2026
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7,201
Strong performer for most Blender workloads and mid-to-heavy scenes.
32 GB
Plenty of room for large scenes, dense geometry, and 4K–8K textures.
12,800
High core count for strong parallel rendering throughput.
Ada Lovelace
Current-generation design with efficient ray tracing and strong Cycles throughput.
576 GB/s
Moderate bandwidth — sufficient for standard rendering workloads.
2550 MHz
High clock speed — helps with viewport responsiveness and per-core performance.
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.
2023
More technical details
Core specs
- Tensor cores: 400Tensor coresIn Blender, tensor cores primarily accelerate the OptiX AI denoiser, which can clean up noisy renders much faster than traditional denoising. They also help with AI-powered features like DLSS in the viewport.
- RT cores: 100Ray tracingHardware ray tracing support can speed up tasks that rely on realistic light transport, reflections, shadows, and path tracing.
- Base clock: 1155 MHzBase clockIt is useful as a baseline specification, but real Blender performance depends on the full GPU design, not just the base clock number.
- Process size: 5 nmProcess nodeSmaller process nodes can improve efficiency and density, but they are not a direct performance score. They are best read as part of the overall architecture story.
Memory specs
- Memory type: GDDR6Memory typeYou will often see names like GDDR6 or GDDR6X. In practice, memory type matters less on its own than overall memory bandwidth and total VRAM.
- Memory bus: 256-bitMemory busA wider bus can move more data at once, but real performance also depends on memory speed and architecture. Bus width alone does not tell the full story.
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 5000 Ada Generation 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
- 32 GB of GDDR6 VRAM
- Ada Lovelace architecture
- 5 nm process size
- Exceptional memory bandwidth of 576 GB/s
- Boost clock speed of 2550 MHz
- 12800 CUDA cores for high parallel processing
Tradeoffs to know
- Potentially high cost due to advanced features
- Availability and pricing can vary by workstation channel
Who should choose it
- Perfect for professionals needing high memory capacity
- Utilizes the latest GPU technology for superior performance
- Designed for efficiency with a 5 nm process node
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