Crynux Network
Truly permissionless DeAI on GPU@edge
Last updated
Truly permissionless DeAI on GPU@edge
Last updated
The key component of Crynux is a robust consensus protocol that enables the permissionless joining and using of the decentralized network by millions.
The ability to identify and penalize all malicious behaviors ensures the ecosystem's sustainability while facilitating healthy growth in the long term.
The innovative vssML technology significantly enhances network efficiency, rivaling centralized platforms while remaining decentralized and permissionless.
As the foundation layer, Crynux Network is composed of the edge nodes, including home computers and mobile devices, who provide hardware to the network in exchange for tokens.
Applications could run tasks such as GPT text generation and Stable Diffusion image generation using various models hosted on the Crynux Network. The integration could be implemented in one-line of code using Crynux SDK.
Model developers use Crynux Network to train/fine-tune their models, and provide models as a service for applications and other developers, earning from the usage of their models.
Mobile devices could also be AI-enhanced by running larger and faster models beyond their current capabilities.
Building on top of the AI services, an innovative DeFi ecosystem could emerge around "Model Assets" and "Data Assets". All the current DeFi applications could be reimagined using the brand-new assets as their base assets.
For example, the developers of AI models can tokenize the models using Crynux, sharing the rewards from model usage with the model token holders.
Model tokens can be used as collateral in various DeFi applications. These applications can be deployed directly on the Crynux Blockchain or as modular L2 chains that connect to Crynux via cross-chain communication. Existing DeFi applications on other blockchains are also supported.
By utilizing the Blockchain, Zero-knowledge Proofs and Privacy Preserving Computation technologies, Crynux aims to build a completely decentralized and trustless infrastructure that is always accessible to everyone.
Helium Network is the latest testnet of the Crynux Network. Helium Network implements a decentralized AI task execution engine that supports running the Stable Diffusion image generation tasks and the GPT text generation tasks.
Although called a testnet, the featured consensus protocol is robust enough to allow everyone to join at this moment. Everyone has an Nvidia GPU, or Mac with the Apple Silicon chips (M1, M2 and M3 series), could have already joined the network using our node software.
The applications could now send the Stable Diffusion image generation tasks to the network using the inference API, and get the images back instantly.
A showcase application has been developed to demonstrate the abilities. The app provides a web interface (just like stable-diffusion-webui) for the users to generate images in the browser. Thanks to the Helium Network, the users could use the application on any devices that do not have a capable GPU integrated.
The complexity of the blockchain and tokens are taken care of at the backend using Crynux Bridge. To the end users, this is just a traditional easy-to-use web application, nothing special.
Give it a try at https://ig.crynux.ai
The applications could also execute the GPT text generation tasks using most of the LLM models on Huggingface, such as LLaMa 2, using the inference API of the Helium Network.
A chatbot web application has been developed as an example for the developers. The web application provides a simple chat UI in the browser, and connects to the Crynux Bridge at the backend to interact with the Crynux Network.
The chatbot can be accessed at https://chat.crynux.ai
To read more about the Helium Network release, go to the following page:
Fill a form to tell us your GPU type, location, network bandwidth [No application form, no sign up, you don’t need to tell us]
Join waitlist and wait for the email from us [No waitlist, just install the Crynux Node app, you can start earning CNX tokens right away]
Just download the package according to your platform, and follow the tutorials below:
To start a node on your Windows computer:
If you are using Mac with Apple Silicon Chips (M1/M2/M3 and later):
To start a node on Linux (such as Ubuntu):
To start a node on cloud services based on Docker, such as Vast.ai:
You can also start the node using Docker:
If you are an application developer who want to utilize the AI abilities provided by the Crynux Network, follow the tutorial below:
Checkout our latest research paper about Crynux Network here:
Join the Crynux community on Discord:
All the codes are open sourced at GitHub, feel free to submit issues and PRs:
The Crynux Blog contains the technical explanations and our latest progress:
And follow us on Twitter:
| Platform | Requirements | Download Link |
|---|---|---|
Windows
Nvidia GPU with 8GB VRAM
Mac
M1/M2/M3 and later
Linux
Nvidia GPU with 8GB VRAM
