We're Live
Paralon Cloud is now publicly available. We built a decentralized GPU platform that connects people who have GPUs with people who need them — and wraps everything in a clean interface that actually works.
No waitlists, no complicated setup. You sign up, pick what you need, and start using it.
What You Can Do on Paralon
AI Inference API
An OpenAI-compatible API that runs on distributed GPUs. If your code works with the OpenAI SDK, it works with Paralon — same format, same endpoints, just pointed at open-source models like Llama 3, Mixtral, and Qwen.
You get access to powerful models without managing any infrastructure. It's one API key and a base URL change.
GPU Rentals
Need a full machine? Rent a GPU — RTX 4090, RTX 3090, and more — with SSH and Jupyter access. You pay per minute, only while the machine is running. No contracts, no minimum spend.
Spin up a machine, run your workload, shut it down. That's it.
Blender Render Farm
For 3D artists and studios: upload your .blend file and render it on GPUs. Cycles and Eevee supported, real-time progress tracking, and results in a fraction of the time your local machine would take.
Why We Built This
GPU compute is expensive and hard to access. Cloud providers charge premium rates. Hardware sits idle. Researchers can't get machines. Indie creators wait hours for renders.
We saw a simpler model: connect GPU owners who have idle hardware with users who need it. The result:
- Lower costs — no markup from hyperscalers, just direct access to real hardware
- Better availability — a distributed network means no single point of failure and no "out of capacity" messages
- Global coverage — nodes in multiple regions, inference closer to your users
We're not trying to replace AWS. We're building the platform we wished existed when we were shipping AI projects ourselves.
How It Works Under the Hood
GPU providers install our lightweight agent on their machines. The agent auto-detects hardware (GPU model, VRAM, CPU, RAM), registers with the network, and the machine becomes available to users — either through the inference API, direct rental, or render pipeline.
Everything is managed through a single dashboard: node health, utilization, earnings for providers, costs for users.
What's Next
We're just getting started. Here's what we're working on:
- Enterprise self-hosted tier — deploy the entire Paralon platform on your own infrastructure for full data sovereignty
- More models — expanding our inference catalog with the latest open-source releases
- Fine-tuning support — bring your own data, fine-tune on our GPUs
- Additional hardware — L40S, H100, and Apple Silicon support
Get Started
Head to paraloncloud.com and create an account. Browse available GPUs on the marketplace, try the inference API, or submit a render job.
If you're a GPU owner and want to earn from your idle hardware, check out our provider docs or reach out at [email protected].
We built this for builders. Welcome aboard.
