---
title: "Cloud GPU Rendering for Blender, Octane & Redshift | PowerGPU"
description: "Cloud GPU rendering billed by the second: RTX 4090 frames from $0.010, 96 GB RTX PRO 6000 for production scenes. Headless Blender, per-frame queues, no farm markup."
url: https://powergpu.ai/use-cases/rendering
last_modified: 2026-09-14T11:04:20+00:00
prices_as_of: 2026-09-14
site: PowerGPU (powergpu.ai)
---

Use case · 3D rendering

# GPU cloud rendering: a render farm that bills like a stopwatch

Classic farms charge per GHz-hour with queue fees and priority tiers. Here it is one number: RTX 4090 at **$0.327** /hr — about $0.010 per 3.5-minute Cycles frame on interruptible — with OptiX, your exact Blender version, and zero markup on idle.

## The render cards, ranked

| Tier | GPU | VRAM | On-demand | Interruptible | Why this card |  |
| --- | --- | --- | --- | --- | --- | --- |
| (Good) | [RTX 4090](https://powergpu.ai/gpu/rtx-4090) | 24 GB | $0.327 | $0.163 | OptiX monster for scenes under 24 GB — the best price per sample in the catalogue. | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-4090) |
| (Better) | [RTX 6000Ada](https://powergpu.ai/gpu/rtx-6000ada) | 48 GB | $0.467 | $0.233 | 48 GB ECC for production scenes, studio drivers, server-grade thermals. | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-6000ada) |
| (Best) | [RTX PRO 6000 WS](https://powergpu.ai/gpu/rtx-pro-6000-ws) | 96 GB | $1.040 | $0.520 | 96 GB GDDR7 — city-scale scenes, volumes and 8K texture sets fully in memory. | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-pro-6000-ws) |

## A 720-frame shot, quoted

- **Frames**: 720 × ~3.5 min on RTX 4090, interruptible queue · $6.85
- **Parallelised**: Same queue across 8 single-GPU instances · ~5.3 h wall-clock, same cost
- **Scene volume 80 GB**: assets + EXR output, one month · $6.40
- **Download EXRs 40 GB**: 40 × $0.01 · $0.40

Per-second billing means parallelising is free: 8 instances for 1 hour cost what 1 instance costs for 8.

## Farm patterns

- **Frames as queue items** — blender -b scene.blend -f N per item; interruptions re-render one frame, not the shot.
- **Assets on a read-only volume** — 8 workers mount one scene library.
- **Interactive lookdev on a VM** — [VNC desktop](https://powergpu.ai/products/vms) on a workstation card, then switch to headless for the farm.
- **Pin your Blender version** — templates are tagged; renders are reproducible.

## GPU cloud rendering: FAQ

Full setup in the [Blender cloud guide](https://powergpu.ai/guides/blender-cloud-rendering).

**Which renderers work on rented GPUs?**

Anything CUDA/OptiX: Blender Cycles, Octane, Redshift, V-Ray GPU, Arnold GPU. The Blender template renders.blend files headless out of the box; Octane/Redshift run inside a full VM with your own licences and a VNC desktop if you want one.

**What does a frame cost?**

A Cycles frame that takes 3.5 minutes on an RTX 4090 costs about $0.010 interruptible. A 720-frame shot: ~$7 — and per-frame queue items make interruptions free re-runs.

**Why a workstation card instead of a 4090?**

VRAM and ECC: heavy production scenes (fur, volumes, 8K textures) blow past 24 GB. The RTX PRO 6000 WS (96 GB) and RTX 6000Ada (48 GB) hold entire scenes in memory with studio drivers — still far below hyperscaler workstation pricing.

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*About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API.

Source: https://powergpu.ai/use-cases/rendering · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt