Creative AI • DePIN Infrastructure • Singapore
Generate. Earn.
Create at the edge.
Sogni AI routes diffusion and video inference across contributed GPU nodes — sub-2-second generation at a fraction of centralized cloud cost. OpenAI-compatible API, or use the web app directly.
What creators are making with Sogni AI
Who it's for
Built for every side of the creative stack
For Creators
Run text-to-image and text-to-video across 50+ diffusion models — SD 3.5, FLUX, Wan-Video — at 60–80% below centralized cloud API rates. LoRA, ControlNet, and batch generation included.
For Developers
One URL change from your existing OpenAI images code. Full REST API — model selection, batch generation, webhooks, streaming. Sub-2-second p50 latency. No retooling.
For GPU Owners
Connect your GPU to the Sogni node network. Earn credits for every completed inference job — proportional to VRAM used and compute time. Redeem monthly. No lock-in, no token required.
Architecture
How Sogni AI works
GPU providers contribute idle compute. Sogni routes generation jobs to the nearest available node. Creator or app receives output in seconds.
- 1 GPU providers contribute idle compute
- 2 Sogni routes jobs to the nearest available node
- 3 Output delivered in under 2 seconds typically
Developer-first
OpenAI-compatible API — one URL to swap
Point your existing OpenAI images client at api.sognix.com and use a Sogni API key. Same endpoint paths, same request and response schema. The network behind it runs on distributed GPU nodes instead of a central cloud — the difference shows up in your invoice.
from sogni import SogniClient
# Drop-in OpenAI-compatible client
client = SogniClient(api_key="sgn_...")
result = client.images.generate(
model="stable-diffusion-3-5",
prompt="cyberpunk city at dusk, neon rain",
size="1024x1024",
n=1
)
print(result.data[0].url)Early feedback
What early users are saying
I generate concept variations in batches of 20 using SD 3.5 with a custom LoRA. Before Sogni, that volume was killing my cloud budget. Now I run the same batch for a fraction of the cost and don't think twice about iterating.
Concept artist, independent animation studio
We migrated our image generation pipeline in an afternoon — same OpenAI-compatible endpoint, same response schema. Our per-image cost dropped significantly and throughput on batch jobs improved.
Backend engineer, growing creative tooling startup
I have two workstation GPUs that sit idle overnight. I installed the provider client, set my availability hours, and credits started accumulating the same week. The dashboard shows per-job earnings clearly.
GPU contributor, home workstation operator
Get started today
Start generating today.
100 free credits/month on Explorer. API key generated on signup. No commitment, no credit card.