--- title: "Cloud GPUs for AI Video Generation — Wan, HunyuanVideo, LTX | PowerGPU" description: "Rent VRAM-heavy GPUs for AI video (Wan, HunyuanVideo, LTX): RTX 5090 32 GB from $0.439/hr, H100 80 GB, H200 141 GB. Per-clip cost math, ComfyUI workflows." url: https://powergpu.ai/use-cases/video-generation last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Use case · video generation # Video generation GPUs: VRAM for video, rented by the clip Video diffusion is the most VRAM-hungry workload in the catalogue — and the best case for renting: generate on an 80 GB H100 PCIE at **$1.867** /hr only while the queue runs, then destroy it. Nobody buys a $25k card for weekend clips. ## The video cards, by headroom | Tier | GPU | VRAM | On-demand | Interruptible | Why this card | | | --- | --- | --- | --- | --- | --- | --- | | (Good) | [RTX 5090](https://powergpu.ai/gpu/rtx-5090) | 32 GB | $0.439 | $0.219 | 32 GB GDDR7 — Wan 14B at 720p with offloading; the affordable way in. | [Deploy](https://cloud.powergpu.ai/?gpu=rtx-5090) | | (Better) | [H100 PCIE](https://powergpu.ai/gpu/h100-pcie) | 80 GB | $1.867 | $0.933 | 80 GB HBM3 — full-quality Wan/Hunyuan without offload gymnastics, 2–3× faster clips. | [Deploy](https://cloud.powergpu.ai/?gpu=h100-pcie) | | (Best) | [H200](https://powergpu.ai/gpu/h200) | 141 GB | $2.791 | $1.395 | 141 GB — long clips, high resolutions and batch generation without a single OOM. | [Deploy](https://cloud.powergpu.ai/?gpu=h200) | Middle path: the 48 GB [L40S](https://powergpu.ai/gpu/l40s) at $0.514/hr runs most 720p pipelines at full precision. ## A batch night, budgeted 60 five-second clips for a storyboard, overnight on interruptible: - **GPU time**: ~6 min/clip × 60 on H100 PCIE interruptible · $5.60 - **Model volume**: 200 GB (Wan + Hunyuan + LoRAs), one month · $16.00 - **Download the results**: ~3 GB out · $0.03 - **Total for the night**: · **≈ $21.63** Interruptions cost nothing here: each clip is an independent queue item that re-runs from the volume. ## Make it not hurt - **Models on a volume** — video checkpoints are 20–60 GB; download once, mount forever. - **Prototype at 480p on the 5090**, final-render at 720p+ on 80 GB — same workflow JSON. - **Queue as items, not marathons** — per-clip jobs love interruptible pricing. - **Watch VRAM, not GPU%** — video pipelines OOM before they saturate compute. ## AI video GPUs: FAQ **How much VRAM do video models need?** More than image models by an order of magnitude of activations: Wan 2.1 14B wants 24–32 GB for 720p clips with offloading, comfortable at 48 GB; HunyuanVideo prefers 48–80 GB. The 32 GB RTX 5090 is the realistic entry point, 80 GB cards the comfortable one. **What does a clip cost to generate?** A 5-second 720p Wan 2.1 clip takes roughly 4–8 minutes on an H100 PCIE — about $0.19 at $1.867/hr. Batch overnight on interruptible and the per-clip cost halves. **Which template do I start from?** ComfyUI — current video models (Wan, Hunyuan, LTX, image-to-video pipelines) all ship ComfyUI workflows first. Put models on a volume: video checkpoints are 20–60 GB each. --- *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/video-generation · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt