Open a revenue stream with your GPU hardware and earn
£1000’s by making your idle GPUs work for you whilst you are not using it.
We connect you with customers and provide simple tools to streamline hosting.
We handle the marketing and source clients so you can focus on the hardware.
Set your own prices and schedules.
NodelyAI is the platform that helps you transform your GPUs into a lucrative enterprise.
Convert your mining farm into a GPU training center and start earning £1000’s by making your idle GPUs work for you whilst you are not using it.
- Earn from idle time
- Safe and secure
- Transparent process
We handle the marketing and source the clients so you can focus on the hardware. We connect you with customers and provide simple tools to streamline your hosting.
- Launch in seconds
- All through a simple virtual machine instance
- Grow your business
Don't let your resources sit idle when they could be earning for you.
Earn steady income by hosting a server.
Decentralized AI node ecosystem that allows anyone to participate and earn $NODE tokens.
Readily available AI image, video, and other enterprise API endpoints that can be easily integrated into any system.
Nodes on-demand by the hour server use. Mainly used for one-time short-term use cases.
If your GPUs are in a qualified datacenter, apply by sending us an email with the
number of GPUs, hardware specs and location of the datacenter.
Here are the step by step intructions for
how to participate in our revenue sharing ecosystem.
Our team have a strict vetting process for getting approved. We will only approve hosts that have a secure and solid setup.
Once approved, our specialist team will send you a script to install our hypervisor software. This will automatically add your server to our marketplace.
You will be able to set your prices.
Once this is done users will be able to deploy there virtual machines on your hardware whilst you earn.
If your GPUs are in a qualified datacenter, apply by sending us an email: nodelyai@hotmail.com with the
number of GPUs, hardware specs and location of the datacenter.
