iRender Cloud Rendering Service

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iRender : GPU-Accelerated Cloud Render Farm.
We’re a set of beautifully obvious GPU cloud rendering to keep your ideas moving.
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Fastest Render Farm 2026: GPU Speed Benchmarks You Can Actually Trust

“Fastest” depends on what you measure. We tested 6 render farms with the same 144-frame Blender Cycles scene. Ranch Computing finished first (3 minutes) — but 107 frames failed. GarageFarm finished in 17 minutes with zero failures. iRender finished in 28 minutes with zero failures on a single RTX 4090 — or under 5 minutes on 8× RTX 4090. The fastest farm by wall-clock time isn’t necessarily the fastest by successful output. When you factor in re-renders, iRender’s zero-failure rate and multi-GPU scaling make it the fastest farm that actually delivers clean results. At ~$8.20/hour (effective ~$3.50 after Credit Back + bonus), speed and cost both favor iRender for GPU workflows.

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GPU Out of Memory When Rendering? Here’s How to Fix It (and When to Go Cloud)

“CUDA error: out of memory” is the most frustrating error in GPU rendering. It means your scene’s textures, geometry, and render data exceed your GPU’s VRAM. An RTX 3060 has 12GB VRAM; an RTX 3070, 8GB; even an RTX 4070 has just 12GB. For complex scenes with 4K textures, displacement maps, and volumetrics, that’s often not enough. You can fix it by reducing texture resolution, using proxies/instances, enabling out-of-core rendering, or optimizing geometry. But when your scene simply needs more VRAM than your card has, the real fix is more GPU memory. iRender’s RTX 4090 provides 24GB per GPU, and with 4–8 GPUs, you can access 96–192GB of pooled VRAM — enough for virtually any production scene.

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Cinema 4D Render Farm: Redshift & Octane Speed Test on 8× RTX 4090

We benchmarked Cinema 4D 2026 with both Redshift 3.6 and OctaneRender 2024 on iRender’s dedicated RTX 4090 servers. Test scene: a 250-frame motion graphics animation at 1920×1080. Redshift on 8× RTX 4090 completed in ~22 minutes (93% scaling efficiency). Octane on 8× completed in ~26 minutes (88% scaling). Total cost for the Redshift run: ~$35; Octane: ~$41. Redshift scaled more efficiently and rendered faster, but Octane produced marginally better caustic and SSS quality in our particular scene. Both engines benefit enormously from multi-GPU — something only IaaS farms like iRender can offer on a single node. No SaaS farm supports C4D + multi-GPU Redshift or Octane in the same way.

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Cinema 4D + Octane Render: How Many GPUs Do You Actually Need?

For most Cinema 4D + OctaneRender projects, 4× RTX 4090 GPUs is the sweet spot. In our scaling test (250-frame C4D animation, 1920×1080), 4 GPUs delivered 3.7× speedup at only 10% higher total cost compared to 1 GPU. Going to 8 GPUs pushed speed to 7.0× but cost 59% more per project. The diminishing returns above 4 GPUs mean you’re paying significantly more for incremental speed gains. On iRender, a single RTX 4090 costs ~$8.20/hour; after Credit Back (20% weekends) and 100% first-deposit bonus, the effective rate drops to ~$3.50/hour per GPU. Use 1–2 GPUs for previews, 4 for production, 8 only when the deadline is yesterday.

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INTEGRATIONS

Autodesk Maya
Autodesk 3DS Max
Blender
Cinema 4D
Houdini
Daz Studio
Maxwell
Omniverse
Nvidia Iray
Lumion
KeyShot
Unreal Engine
Twinmotion
Redshift
Octane
V-Ray
And many more…

iRENDER TEAM

MONDAY – FRIDAY: 24/7 Support
SATURDAY – SUNDAY: 6:00 AM – 11:59 PM
(UTC+7)
Hotline: (+84) 912-785-500
Skype: iRender Support
Email: [email protected]
Address 1: 68 Circular Road #02-01, 049422, Singapore.
Address 2: No.22 Thanh Cong Street, Hanoi, Vietnam.

Contact
[email protected]