Running in ~30 s
Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.
Template · Video generation · CUDA 12.1
Run Open-Sora on a cloud GPU, in 30 seconds
The open text-to-video model, ready to generate and fine-tune. Open-Sora is the open text-to-video model and training codebase. The template ships inference scripts and the Gradio demo; the research-grade training pipeline is there for teams fine-tuning on their own footage. From $0.159/hr on an interruptible RTX 5090.
Template is free
You pay the GPU price only: Open-Sora on a RTX 5090 is $0.318/hr on-demand, $0.159/hr interruptible, billed per second.
Volumes for state
Models, datasets and outputs live on a $0.08/GB/mo volume; the instance stays disposable.
Private by default
Dedicated GPU, encrypted disk, crypto payments, no KYC, no stored IPs — Jupyter and SSH behind your own credentials.
Best GPUs for Open-Sora
Three price points that run this template well — Good, Better, Best. Every model in the catalogue works; these are the value picks.
| Tier | GPU | VRAM | On-demand | Interruptible | Why this card | Action |
|---|---|---|---|---|---|---|
| Good | RTX 5090 | 32 GB | $0.318 | $0.159 | 32 GB for inference at moderate resolutions. | Deploy |
| Better | H100 PCIE | 80 GB | $2.147 | $1.073 | 80 GB HBM for full-resolution generation. | Deploy |
| Best | H200 | 141 GB | $3.058 | $1.529 | 141 GB for training and long clips. | Deploy |
Need more VRAM? The full catalogue lists all 76 models with live availability; the VRAM guide sizes models to cards.
Deploy Open-Sora from the console, CLI or API
Pick the template in the console deploy bar, or script it:
- Console — filter by GPU, choose Open-Sora in the template picker, set disk and env, deploy.
- CLI — pip install powergpu, then the command on the right. CLI reference.
- API — POST /v1/instances with "template": "open-sora". REST reference.
- Own image — any OCI reference works too; we inject the NVIDIA runtime. Template docs.
$ powergpu launch --gpu rtx-5090 --template open-sora \
--disk 100 --volume models:/workspace/models
✓ instance i-7a41c0e2 running (27.9s)
# Open-Sora · RTX 5090 · $0.318/hr · per second
# https://i-7a41c0e2.powergpu.io:8888 (TLS)
$ powergpu stop i-7a41c0e2 # billing ends this secondWhat is inside the Open-Sora template
| Image | powergpu/open-sora |
|---|---|
| CUDA | CUDA 12.1 |
| Access | SSH shell · JupyterLab on a mapped port |
| Category | Video generation |
| Storage | Instance NVMe disk (sized at deploy) + optional network volumes |
| Billing | GPU price only, per second — no template fee, no setup fee |
Other video generation templates
Wan2GP on a cloud GPU — Run Wan and other video-generation models on modest VRAM, with a simple UI.- All 37 templates
Open-Sora on a cloud GPU: FAQ
Environment variables, ports and custom images are covered in the template docs.
How much does it cost to run Open-Sora on a cloud GPU?
Only the GPU price — the template is free. From $0.159/hr on an interruptible RTX 5090, $0.318/hr on-demand on a RTX 5090. Billing is per second, so an hour of tinkering costs an hour, not a day. Storage is $0.08/GB/month.
How long does Open-Sora take to start?
About 30 seconds from the deploy click: the image is pre-cached on hosts, ports are mapped and TLS is terminated for you. Restarting a stopped instance is faster, and your disk is exactly as you left it.
Can I keep my models and outputs between sessions?
Yes — attach a volume at deploy. Everything on the volume survives instance destruction and mounts on the next instance in the region in seconds, at $0.08/GB/month. The instance disk itself survives stop/start but not destroy.
Can I fine-tune Open-Sora here?
Yes — the training scripts are included; put the dataset on a volume and use an 80 GB+ card or a multi-GPU machine.