An in-depth analysis of five leading AI Layer1s: Bittensor, Vana, Kite AI, Nillion, and Sahara

With the rapid development of AI technology, traditional blockchain architecture can no longer meet the high-performance computing and complex data processing requirements

Author: Biteye core contributor Louis

Editor: Biteye core contributor Denise

Editor: Tweet Core Contributor Denise

With the rapid development of AI technology, traditional blockchain architecture can no longer meet the high-performance computing and complex data processing requirements of AI applications. This has led to the rise of Layer 1 blockchain platforms optimized for AI, which are diverse in terms of technical architecture, application scenarios and business models.

With the rapid development of AI technology, traditional blockchain architecture can no longer meet the high-performance computing and complex data processing requirements of AI applications. This has led to the rise of Layer 1 blockchain platforms optimized for AI, which are diverse in terms of technical architecture, application scenarios and business models.

This study provides an in-depth analysis of five leading AI Layer1s: Bittensor, Vana, Kite AI, Nillion, and Sahara.

This study provides an in-depth analysis of five leading AI Layer1s: Bittensor, Vana, Kite AI, Nillion, and Sahara.

01. Bittensor: Decentralized AI Network Infrastructure

01. Bittensor: Decentralized AI Network Infrastructure

As an early explorer in the field of blockchain AI, Bittensor is committed to building an open decentralized artificial intelligence collaboration network.

As an early explorer in the field of blockchain AI, Bittensor is committed to building an open decentralized artificial intelligence collaboration network.

Its goal is to break down the centralized barriers in traditional AI research and development, allowing more participants to contribute and benefit together.

Its goal is to break down the centralized barriers in traditional AI research and development, allowing more participants to contribute and benefit together.

Unlike traditional centralized AI systems (such as companies like OpenAI), Bittensor has created an open peer-to-peer ecosystem where participants can receive corresponding rewards based on their contributions to the network.

Unlike traditional centralized AI systems (such as companies like OpenAI), Bittensor has created an open peer-to-peer ecosystem where participants can receive corresponding rewards based on their contributions to the network.

Bittensor's technical architecture adopts a two-layer structure design:

Bittensor's technical architecture adopts a two-layer structure design:

This design allows Bittensor to balance the stability of the overall network with the professionalism in various fields, providing a flexible infrastructure for the development of decentralized AI.

This design allows Bittensor to balance the stability of the overall network with the professionalism in various fields, providing a flexible infrastructure for the development of decentralized AI.

Ecological Development Progress

Ecological Development Progress

These data show that Bittensor is gaining recognition from more and more market participants, and its ecosystem is entering a healthy development track.

These data show that Bittensor is gaining recognition from more and more market participants, and its ecosystem is entering a healthy development track.

The dTAO (dynamic TAO) system upgrade recently completed by Bittensor is an important innovation in its economic model. The core of this upgrade is to allocate the TAO token more efficiently.

The dTAO (dynamic TAO) system upgrade recently completed by Bittensor is an important innovation in its economic model. The core of this upgrade is to allocate the TAO token more efficiently.

Bittensor's original economic model was largely based on a resource allocation method that relies on the subjective judgment of the validator, but this approach becomes less efficient as the number of subnets increases and the role of the validator in value discovery is highlighted. In addition, the role overlaps with the subnet, which can easily lead to conflicts of interest. Moreover, the power of allocating network resources is overly concentrated in the hands of a few validators, while the role of ordinary TAO holders in governance is limited.

Bittensor's original economic model was largely based on a resource allocation method that relies on the subjective judgment of the validator, but this approach becomes less efficient as the number of subnets increases and the role of the validator in value discovery is highlighted. In addition, the role overlaps with the subnet, which can easily lead to conflicts of interest. Moreover, the power of allocating network resources is overly concentrated in the hands of a few validators, while the role of ordinary TAO holders in governance is limited.

To address these issues, the dTAO upgrade introduces a dynamic resource allocation system based on market mechanisms. This system transforms each subnet into an independent economic unit, driving resource allocation through actual user demand. Its core innovation is the subnet token (Alpha token) mechanism:

To address these issues, the dTAO upgrade introduces a dynamic resource allocation system based on market mechanisms. This system transforms each subnet into an independent economic unit, driving resource allocation through actual user demand. Its core innovation is the subnet token (Alpha token) mechanism:

This mechanism significantly improves the efficiency and fairness of resource allocation, makes the value of TAO tokens more stable, and provides more ways for ordinary users to participate in network governance.

This mechanism significantly improves the efficiency and fairness of resource allocation, makes the value of TAO tokens more stable, and provides more ways for ordinary users to participate in network governance.

The most active subnets include:

The most active subnets include:

02. Vana: Data sovereignty and value reconstruction platform

02. Vana: Data sovereignty and value reconstruction platform

The Vana project focuses on solving a core problem in today's digital economy: the ownership and value distribution of personal data. In the current Internet ecosystem, user data is mostly monopolized and controlled by large technology companies, while the users who actually create this data rarely benefit from it. Vana's innovation lies in establishing an ecosystem where users truly own and control their own data, while being able to obtain economic returns from it.

The Vana project focuses on solving a core problem in today's digital economy: the ownership and value distribution of personal data. In the current Internet ecosystem, user data is mostly monopolized and controlled by large technology companies, while the users who actually create this data rarely benefit from it. Vana's innovation lies in establishing an ecosystem where users truly own and control their own data, while being able to obtain economic returns from it.

As an EVM-compatible Layer 1 blockchain network, Vana’s technical architecture consists of five core components:

As an EVM-compatible Layer 1 blockchain network, Vana’s technical architecture consists of five core components:

This design enables Vana to create a fairer data value distribution mechanism while protecting user data privacy, providing an important data foundation for the development of decentralized AI.

This design enables Vana to create a fairer data value distribution mechanism while protecting user data privacy, providing an important data foundation for the development of decentralized AI.

Latest Developments

Latest Developments

Vana's financing and cooperation expansion continue to advance:

Vana's financing and cooperation expansion continue to advance:

These developments indicate that Vana is actively building a complete ecosystem around data ownership and value realization, and its development momentum deserves attention.

These developments indicate that Vana is actively building a complete ecosystem around data ownership and value realization, and its development momentum deserves attention.

03. Kite AI: Technological breakthrough of AI native public chain

03. Kite AI: Technological breakthrough of AI native public chain

Kite AI is a native Layer 1 blockchain project focused on the AI field, built on the Avalanche framework. It is committed to solving the various challenges faced by traditional blockchains when dealing with AI assets, especially how to achieve transparent ownership and incentives for AI data, models, and intelligent contributions. Kite AI proposes four core technological innovations:

Kite AI is a native Layer 1 blockchain project focused on the AI field, built on the Avalanche framework. It is committed to solving the various challenges faced by traditional blockchains when dealing with AI assets, especially how to achieve transparent ownership and incentives for AI data, models, and intelligent contributions. Kite AI proposes four core technological innovations:

1.PoAI consensus mechanism: Proof of Attributed Intelligence is a consensus mechanism pioneered by Kite AI. Through a verifiable contribution record system on the chain, it accurately tracks the value contribution of data, models, and AI agents. The project has designed a dynamic reward pool mechanism to distribute income according to the contribution ratio, effectively solving the problems of "data black box" and "model plagiarism" in the traditional AI economy.

1.PoAI consensus mechanism: Proof of Attributed Intelligence is a consensus mechanism pioneered by Kite AI. Through a verifiable contribution record system on the chain, it accurately tracks the value contribution of data, models, and AI agents. The project has designed a dynamic reward pool mechanism to distribute income according to the contribution ratio, effectively solving the problems of "data black box" and "model plagiarism" in the traditional AI economy.

2. Combinable AI subnets: Kite AI adopts a modular architecture to support developers to build industry-specific AI collaborative ecosystems on demand. For example, in the medical subnet, patient data can be encrypted and authorized to pharmaceutical companies for AI model development. The benefits are distributed to data subjects, model developers, and subnet maintainers in a certain proportion, creating a win-win ecological environment for all parties.

2. Combinable AI subnets: Kite AI adopts a modular architecture to support developers to build industry-specific AI collaborative ecosystems on demand. For example, in the medical subnet, patient data can be encrypted and authorized to pharmaceutical companies for AI model development. The benefits are distributed to data subjects, model developers, and subnet maintainers in a certain proportion, creating a win-win ecological environment for all parties.

3. AI native execution layer: Kite AI is building an on-chain AI native execution layer that specializes in

3. AI native execution layer: Kite AI is building an on-chain AI native execution layer that specializes in