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  1. FARPY
  2. Cycles GPU rendering

Cycles GPU rendering

Why Cycles GPU rendering is faster — and when it is not

Cycles on CPU can take hours per frame. A GPU shortens that when the scene fits in VRAM and the render device is actually GPU.

The problem

People search “Cycles render slow” after leaving the scene on CPU, or after enabling GPU but running a scene that is sample-heavy, denoiser-heavy, or memory-bound.

Plain-English explanation

Cycles is a path tracer. GPUs run many rays in parallel. CUDA and OptiX are backends, not interchangeable scores. An OptiX result is not automatically comparable to a CUDA-only result. FARPY production rendering is Blender Cycles on GPU.

Useful evidence

Verified BenchMork/FARPY results publish GPU name, VRAM, backend, scene/test identity, and measured runtime. Only PASS records are labeled verified. A benchmark scene is not your production shot.

  • FARPY verified GPU registry
  • RTX 3090 Blender benchmark
  • BenchMork verified feed
  • Local time calculator
Measurement vs execution

See how this GPU performs. Need the render finished?

BenchMork measures GPU performance on a frozen benchmark. FARPY executes your Blender file, shows an exact quote, and returns a receipt. A verified benchmark is not a render-time or price guarantee.

See how this GPU performsGet exact quote

Practical options

  • Confirm Render Properties → Device is GPU, not CPU.
  • Check the scene still fits; see VRAM notes.
  • If GPU is on and the frame is still slow, see why Cycles renders are slow.
  • If frames are the issue, see render taking forever.

Need the actual render finished?

Upload the .blend. FARPY inspects it and returns a locked quote before start. The accepted price does not increase after you approve it.

Get exact quote
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