Running in ~30 s
Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.
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Developers & company
GPUs · on-demand per hour
Template · Specialised · CUDA 12.8
Stream an Unreal Engine app to the browser — pixel streaming on a cloud GPU. Stream a packaged Unreal Engine application to any browser: the template runs the signalling server and your Linux build with hardware encode on the GPU. Demos, configurators and virtual showrooms scale by adding instances, not by shipping installers. From $0.080/hr on an interruptible RTX A5000.
Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.
You pay the GPU price only: Unreal Pixel Streaming on a RTX 4090 is $0.262/hr on-demand, $0.131/hr interruptible, billed per second.
Models, datasets and outputs live on a $0.08/GB/mo volume; the instance stays disposable.
Dedicated GPU, encrypted disk, crypto payments, no KYC, no stored IPs — Jupyter and SSH behind your own credentials.
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 4090 | 24 GB | $0.262 | $0.131 | High frame rates with a strong NVENC at consumer prices. | Deploy |
| Better | RTX A5000 | 24 GB | $0.161 | $0.080 | Blower-cooled workstation card for long-running streams. | Deploy |
| Best | L40S | 48 GB | $0.466 | $0.233 | Datacenter Ada with dual encoders for many concurrent viewers. | Deploy |
Need more VRAM? The full catalogue lists all 76 models with live availability; the VRAM guide sizes models to cards.
Pick the template in the console deploy bar, or script it:
$ powergpu launch --gpu rtx-4090 --template unreal-pixel-streaming \
--disk 100 --volume models:/workspace/models
✓ instance i-7a41c0e2 running (27.9s)
# Unreal Pixel Streaming · RTX 4090 · $0.262/hr · per second
# https://i-7a41c0e2.powergpu.io:8888 (TLS)
$ powergpu stop i-7a41c0e2 # billing ends this second
| Image | powergpu/unreal-pixel-streaming |
|---|---|
| CUDA | CUDA 12.8 |
| Access | SSH shell · JupyterLab on a mapped port |
| Category | Specialised |
| Storage | Instance NVMe disk (sized at deploy) + optional network volumes |
| Billing | GPU price only, per second — no template fee, no setup fee |
Environment variables, ports and custom images are covered in the template docs.
Only the GPU price — the template is free. From $0.080/hr on an interruptible RTX A5000, $0.262/hr on-demand on a RTX 4090. Billing is per second, so an hour of tinkering costs an hour, not a day. Storage is $0.08/GB/month.
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.
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.
One interactive session per GPU for a full 3D scene is the safe assumption; lighter scenes can share a card. Scale horizontally by launching more instances behind your matchmaker.
Top up in crypto, benchmark us against your current provider. Per-second billing, fixed prices ≥ 30% below market — cancel by just stopping the instance.