HOW IT WORKS
By leveraging the libp2p protocol we are able to create a decentralized network of nodes that can communicate with each other. This allows us to split the LLM runtime load and instruction in a decentralize way.
Its an ocean of smarts
Explore decentralized intelligence with Sharded AI, where sharding technology drives scalable, secure, and private AI exploration. It's like navigating through an ocean of smarts, where every node contributes to uncovering insights. Join us as we make waves in the world of decentralized AI.
Quick Setup: Seamlessly Join the Network, Earn Tokens as a Node
Becoming a node in the Sharded AI network is as easy as a few clicks, enabling you to swiftly contribute and earn tokens. Seamlessly join our decentralized intelligence ecosystem, leveraging sharding technology for scalable, secure, and private AI processing.
Dive into the ocean of smarts, where every node plays a vital role in uncovering insights while reaping the rewards of collective effort. Experience the simplicity and benefits of Quick Setup as you make waves in the world of decentralized AI.
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AI made by humans, for humans. not for profit. not for power. for the people.
IN DEPTH
THE ARCHITECTURE OF A DECENTRALIZED AI NETWORK, AND HOW IT CAN REVOLUTIONIZE THE AI LANDSCAPE, MAKING IT MORE ACCESSIBLE AND COST-EFFECTIVE FOR ORGANIZATIONS OF ALL SIZES AND INDUSTRIES
EVERY ROLES IN THE NETWORK IS IMPORTANT
In the architecture of Sharded AI, a groundbreaking paradigm shift occurs where computational power for AI becomes essentially costless. By allowing individuals and organizations to contribute as nodes within the network, Sharded AI democratizes access to AI resources. Moreover, participants can take on the role of RUNTIME CONTROLLERS responsible for storing large language model (LLM) data and orchestrating tasks within the network.
Acting as both a storage hub and an instruction gateway, these controllers streamline communication between nodes and facilitate the execution of AI tasks. This innovative approach not only leverages the collective computational resources of the network but also establishes a decentralized infrastructure akin to Ethereum's RPC gateway, thereby paving the way for a more inclusive and cost-effective AI landscape across diverse industries.
Acting as both a storage hub and an instruction gateway, these controllers streamline communication between nodes and facilitate the execution of AI tasks. This innovative approach not only leverages the collective computational resources of the network but also establishes a decentralized infrastructure akin to Ethereum's RPC gateway, thereby paving the way for a more inclusive and cost-effective AI landscape across diverse industries.
MARKET OVERVIEW
HOW THIS WILL EXPAND THE GLOBAL OPPORTUNITY AND SHIFT THE PERSPECTIVE OF MARKET LANDSCAPE
In the dynamic landscape of AI deployment, the period from 2025 to 2028 witnessed an extraordinary surge in market growth
With projections skyrocketing to an impressive $67.2 billion. This exponential expansion underscored the burgeoning demand for AI solutions across diverse sectors, from finance to healthcare, driving organizations to seek scalable and cost-effective deployment options. Traditional on-premise infrastructures struggled to keep pace with the escalating costs, while cloud-based solutions, once hailed for their accessibility, threatened to become financially burdensome over time.
Working with the best
We works with the best on the industry to provide humans the best experience of utilizing AI for their needs. We are decentralized, we do not store your privacy
FAQ
Sharded is a decentralized AI project that utilizes libp2p and a Large Language Model (LLM) to split AI runtime into decentralized nodes. This approach allows anyone to contribute and become a node, running the LLM model using Llama (for now we using the open source Llama, but we plan to build an uncensored custom model with the sharded community) without the need for heavy computational resources.
Sharded leverages libp2p, a modular network stack, to establish peer-to-peer connections between nodes. Each node hosts a portion of the LLM model, and tasks are distributed across the network for parallel processing. This decentralized architecture ensures scalability, fault tolerance, and accessibility. By combining the power of LLM with the efficiency of libp2p and GPU.js for GPU acceleration, Sharded enables efficient and secure AI processing.
LLM stands for Large Language Model, a type of artificial intelligence model capable of understanding and generating human-like text. Llama is the runtime environment optimized for running LLM models in a decentralized manner, enabling efficient utilization of resources across the Sharded network
Contributing to Sharded is open to anyone interested in participating in decentralized AI. You can become a node by installing the Sharded Node library using our SDK written in JS, which allows you to host a portion of the LLM model and contribute to processing tasks. Joining the network as a node enables you to earn incentives for your computational contributions.
In the future, becoming a sharded nodes operator will be rewarded by token which currently circulate on the ecosystem, this governance schema will make sure the availability of nodes to run the network.
- Decentralization: Sharded decentralizes AI processing, reducing reliance on centralized infrastructure and promoting network resilience.
- Scalability: The network can scale dynamically as more nodes join, accommodating growing computational demands. Accessibility: Anyone with basic hardware and internet connectivity can participate, democratizing access to AI technologies.
- Incentives: Contributors are rewarded with tokens or other incentives for their computational contributions to the network.
- Encryption: Communications between nodes are encrypted using advanced cryptographic techniques, ensuring data privacy and integrity.
- Permissioned Access: Access to the network and participation as a node may require authentication, adding an additional layer of security.
- Data Protection: Personal data and sensitive information are handled with care, adhering to best practices and regulatory standards.