How does Heurist boost AI Agents' computing power?

Intermediate11/19/2024, 5:54:51 AM
Heurist is a decentralized AI cloud computing protocol offering premium infrastructure for future crypto users and AI developers. Through its DePIN protocol architecture, GPU owners can provide computing resources permissionlessly. Heurist boasts several advantages: enhanced system security via decentralization, cost reduction through idle resource utilization, and improved efficiency with dynamic resource allocation. The platform's key applications include AI NFT creation, AI dialogue, and search capabilities. By developing highly customized Web3 AI models, Heurist propels the growth of blockchain-based AI Agents. With plans to issue tokens in Q4 2024 and roll out various features throughout 2025, Heurist aims to become a crucial link between AI technology and the future.
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Forward the Original Title: With AI narratives taking the lead, how does Heurist contribute to enhancing the computation of needs for Agents?

What kind of excellent infrastructure will Heurist bring to future crypto users and AI developers?

In the future cyber society, AI will be an important part of human interaction, and its infrastructure construction will naturally become a key breakthrough for development. The demand for massive computing and inference services generated by model operations is also booming. As an AI-as-a-Service infrastructure in the Web3 field, the decentralized AI cloud computing protocol Heurist recently announced the completion of $2 million in financing from Amber Group, Contango Digital, Manifold Trading, Selini Capital and other institutions. What kind of excellent infrastructure will they bring to future crypto users and AI developers?

Infrastructure

With generative AI booming, the global market is projected to reach $356.1 billion by 2030. This growth is accompanied by a rapid increase in demand for computing resources and inference services.

Today, many AI models run on traditional centralized cloud services, and access to these services has the following problems:

  • Centralization risk: In centralized cloud services, all data and computations are concentrated in a single data center, which is susceptible to single points of failure. Additionally, all data is stored in a single location, increasing the risk of data leakage and misuse.
  • Higher cost: Running AI models requires a lot of computing resources, especially when training large models, which consumes a lot of GPU and CPU resources. The cost of these resources is high, especially for businesses that need to continuously run and update models, resulting in high operating costs in the long term.
  • Low resource utilization: In traditional centralized cloud services, due to the uneven load of AI model training and inference, there is a shortage of resources during busy times and a waste of resources during idle times. Furthermore, due to possible resource contention between services, resources cannot be fully utilized, further reducing resource utilization.

As an AI-as-a-service infrastructure, Heurist uses the DePIN protocol architecture to allow GPU owners to provide computing resources permissionlessly, and offers APIs to allow users and developers to access and run AI models based on these computing resources.

Computing Layer

The computing layer consists of computing nodes, Pods and a verification system. Computing nodes serve as the basic unit and allow computing providers (miners) to join permissionlessly and with no fixed period.

Pod Architecture

Pod is an independent deployable workload unit using GPU. Through Pod, users can specify certain computing requirements to match the corresponding nodes. It supports automatic load adjustment and can be used in AI model operation, fine-tuning and ZK proof generation. Heurist employs cryptographic economic verification to ensure the integrity and reliability of calculation results.

Orchestration Layer

Heurist developed the ZK Stack to provide a high-throughput and low-cost environment while offering users sovereign isolation for interoperability, ensuring operational and resource management stability. Additionally, for the on-chain sequencer, transaction calculations are executed off-chain first, and then uploaded to the chain after successful calculation and execution. This execution mode reduces the execution cost of failed transactions.

Application Layer

Any user can build a front-end on the application layer, and Heurist provides two payment gateway modes. Developers can either prepay for certain resources using calculation points, or they can pay directly based on user usage by distributing the cost to users. The latter can also provide autonomous payment options for AI Agents.

In summary, the advantage of Heurist is that its decentralized architecture improves the system’s fault resistance and data security, while reducing operating costs by utilizing idle computing resources, dynamic resource allocation improves resource utilization, and the load adjustment function enhances the system The flexibility and scalability, and the crypto-economic verification built by ZK Stack ensure the integrity and reliability of the calculation results, enabling the entire system to efficiently and securely adapt to various workload requirements, providing users and developers with a stable experience.

Products and Applications

Today’s mainstream applications built on Heurist include Heurist Imagine (AI NFT art creation), Pondera (AI conversation), Heurist Search (AI search) and Babel Bot (Discord translation robot), etc., covering a range of mainstream AI use cases. With decentralized GPU computing, the overall cost efficiency is improved significantly compared to closed-source models. In addition to common language models, Heurist also provides fine-tuned models focusing on Web3 Agent and IP, such as the Theia language model developed by Chainbase, the ZKsync ecosystem’s native IP Zeek model, and the Magus Devon model created by the Forgotten Runes community, etc. Heurist drives a variety of AI Agents built on the blockchain through these highly customized Web3 AI models, which are composable and censorship-resistant. With on-chain GPU computing, the overall cost efficiency is improved several times compared to closed-source models. multiple times, making it the model layer and computing power layer of the AI ​​Agent ecosystem.

Ecosystem Development

In terms of economic system construction, Heurist’s native token HEU will be used to pay developers for computing resources, serve as the gas cost for user transactions, and support staking and governance functions. Regarding token allocation, the emission scale for computing power providers is 50%, and early community allocation (including early miners and NFT holders) accounts for 7%. Heurist’s elastic token release rules dynamically adjust the annualized inflation rate between 1.25% and 5% to achieve elastic expansion and contraction of computing resources in response to changing computing needs.

And Heurist released the community Heurist Imaginaries NFT, a series of 500 AI-generated artworks in its early construction phase. The airdrop plan includes distributing a total of 1.75% of HEU tokens to holders of this series.

Heurist already has partnerships with partners in a variety of sectors. In terms of GPU computing power, Heurist cooperates with companies such as Aethir, Exabits, Spheron and Mintair to provide powerful computing resources and provide a foundation for AI model training and inference network construction. In the field of AI and data infrastructure, Heurist has established partnerships with GenLayer, Chasm Network, Aizel, and Gateway Network to ensure the efficient flow and security of data.

For consumer applications, Heurist partners with companies such as CreatorBid, Arbus AI, DecentAI and Eden Art to bring AI technology to the broader consumer market. In terms of applications in the field of AI Agent, Heurist provides customized graph models for CreatorBid, especially customized services for the WallStreetBets brand. Through these collaborations, the Heurist platform is continuously expanding its influence and promoting the application and development of AI technology in various fields.

On the roadmap, the project will issue tokens in the fourth quarter of 2024, distribute airdrops of mining tokens in the first quarter of 2025 and launch developer API payment functions. Later in 2025, the staking function will be launched along with subsequent mining and ZK chain implementations. This platform will also activate the user payment function and verifier system. Users can participate by contributing GPUs (12 GB of video memory and above, such as GTX 3090 or 4090), participate in the Intract Points Campaign and engaging in the Create-to-earn activity within Heurist Imagine, minting AI NFTs to earn ZK tokens for participation.

Conclusion

The future cyber society will rely more on the interaction between AI and humans. Heurist addresses the issues of centralization risks, high costs, and low resource utilization associated with traditional centralized cloud services. It also introduces a novel approach for AI developers and users to utilize computing resources. Heurist is poised to become a bridge connecting AI technology and the future, driving societal development in a more intelligent direction. It aims to provide robust technical support for building a more intelligent, interconnected, and secure cyber society. For more information, users can access the project homepage, Discord, Twitter, and Medium.

Disclaimer:

  1. This article is reproduced from [ForesightNews]. Forward the Original Title “With AI narratives taking the lead, how does Heurist contribute to enhancing the computation of needs for Agents?”. The copyright belongs to the original author [Pzai, Foresight News]. If you have any objection to the reprint, please contact Gate Learn team, the team will handle it as soon as possible according to relevant procedures.
  2. Disclaimer: The views and opinions expressed in this article represent only the author’s personal views and do not constitute any investment advice.
  3. Other language versions of the article are translated by the Gate Learn team. Unless otherwise stated, the translated article may not be copied, distributed or plagiarized.

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Содержимое

How does Heurist boost AI Agents' computing power?

Intermediate11/19/2024, 5:54:51 AM
Heurist is a decentralized AI cloud computing protocol offering premium infrastructure for future crypto users and AI developers. Through its DePIN protocol architecture, GPU owners can provide computing resources permissionlessly. Heurist boasts several advantages: enhanced system security via decentralization, cost reduction through idle resource utilization, and improved efficiency with dynamic resource allocation. The platform's key applications include AI NFT creation, AI dialogue, and search capabilities. By developing highly customized Web3 AI models, Heurist propels the growth of blockchain-based AI Agents. With plans to issue tokens in Q4 2024 and roll out various features throughout 2025, Heurist aims to become a crucial link between AI technology and the future.

Forward the Original Title: With AI narratives taking the lead, how does Heurist contribute to enhancing the computation of needs for Agents?

What kind of excellent infrastructure will Heurist bring to future crypto users and AI developers?

In the future cyber society, AI will be an important part of human interaction, and its infrastructure construction will naturally become a key breakthrough for development. The demand for massive computing and inference services generated by model operations is also booming. As an AI-as-a-Service infrastructure in the Web3 field, the decentralized AI cloud computing protocol Heurist recently announced the completion of $2 million in financing from Amber Group, Contango Digital, Manifold Trading, Selini Capital and other institutions. What kind of excellent infrastructure will they bring to future crypto users and AI developers?

Infrastructure

With generative AI booming, the global market is projected to reach $356.1 billion by 2030. This growth is accompanied by a rapid increase in demand for computing resources and inference services.

Today, many AI models run on traditional centralized cloud services, and access to these services has the following problems:

  • Centralization risk: In centralized cloud services, all data and computations are concentrated in a single data center, which is susceptible to single points of failure. Additionally, all data is stored in a single location, increasing the risk of data leakage and misuse.
  • Higher cost: Running AI models requires a lot of computing resources, especially when training large models, which consumes a lot of GPU and CPU resources. The cost of these resources is high, especially for businesses that need to continuously run and update models, resulting in high operating costs in the long term.
  • Low resource utilization: In traditional centralized cloud services, due to the uneven load of AI model training and inference, there is a shortage of resources during busy times and a waste of resources during idle times. Furthermore, due to possible resource contention between services, resources cannot be fully utilized, further reducing resource utilization.

As an AI-as-a-service infrastructure, Heurist uses the DePIN protocol architecture to allow GPU owners to provide computing resources permissionlessly, and offers APIs to allow users and developers to access and run AI models based on these computing resources.

Computing Layer

The computing layer consists of computing nodes, Pods and a verification system. Computing nodes serve as the basic unit and allow computing providers (miners) to join permissionlessly and with no fixed period.

Pod Architecture

Pod is an independent deployable workload unit using GPU. Through Pod, users can specify certain computing requirements to match the corresponding nodes. It supports automatic load adjustment and can be used in AI model operation, fine-tuning and ZK proof generation. Heurist employs cryptographic economic verification to ensure the integrity and reliability of calculation results.

Orchestration Layer

Heurist developed the ZK Stack to provide a high-throughput and low-cost environment while offering users sovereign isolation for interoperability, ensuring operational and resource management stability. Additionally, for the on-chain sequencer, transaction calculations are executed off-chain first, and then uploaded to the chain after successful calculation and execution. This execution mode reduces the execution cost of failed transactions.

Application Layer

Any user can build a front-end on the application layer, and Heurist provides two payment gateway modes. Developers can either prepay for certain resources using calculation points, or they can pay directly based on user usage by distributing the cost to users. The latter can also provide autonomous payment options for AI Agents.

In summary, the advantage of Heurist is that its decentralized architecture improves the system’s fault resistance and data security, while reducing operating costs by utilizing idle computing resources, dynamic resource allocation improves resource utilization, and the load adjustment function enhances the system The flexibility and scalability, and the crypto-economic verification built by ZK Stack ensure the integrity and reliability of the calculation results, enabling the entire system to efficiently and securely adapt to various workload requirements, providing users and developers with a stable experience.

Products and Applications

Today’s mainstream applications built on Heurist include Heurist Imagine (AI NFT art creation), Pondera (AI conversation), Heurist Search (AI search) and Babel Bot (Discord translation robot), etc., covering a range of mainstream AI use cases. With decentralized GPU computing, the overall cost efficiency is improved significantly compared to closed-source models. In addition to common language models, Heurist also provides fine-tuned models focusing on Web3 Agent and IP, such as the Theia language model developed by Chainbase, the ZKsync ecosystem’s native IP Zeek model, and the Magus Devon model created by the Forgotten Runes community, etc. Heurist drives a variety of AI Agents built on the blockchain through these highly customized Web3 AI models, which are composable and censorship-resistant. With on-chain GPU computing, the overall cost efficiency is improved several times compared to closed-source models. multiple times, making it the model layer and computing power layer of the AI ​​Agent ecosystem.

Ecosystem Development

In terms of economic system construction, Heurist’s native token HEU will be used to pay developers for computing resources, serve as the gas cost for user transactions, and support staking and governance functions. Regarding token allocation, the emission scale for computing power providers is 50%, and early community allocation (including early miners and NFT holders) accounts for 7%. Heurist’s elastic token release rules dynamically adjust the annualized inflation rate between 1.25% and 5% to achieve elastic expansion and contraction of computing resources in response to changing computing needs.

And Heurist released the community Heurist Imaginaries NFT, a series of 500 AI-generated artworks in its early construction phase. The airdrop plan includes distributing a total of 1.75% of HEU tokens to holders of this series.

Heurist already has partnerships with partners in a variety of sectors. In terms of GPU computing power, Heurist cooperates with companies such as Aethir, Exabits, Spheron and Mintair to provide powerful computing resources and provide a foundation for AI model training and inference network construction. In the field of AI and data infrastructure, Heurist has established partnerships with GenLayer, Chasm Network, Aizel, and Gateway Network to ensure the efficient flow and security of data.

For consumer applications, Heurist partners with companies such as CreatorBid, Arbus AI, DecentAI and Eden Art to bring AI technology to the broader consumer market. In terms of applications in the field of AI Agent, Heurist provides customized graph models for CreatorBid, especially customized services for the WallStreetBets brand. Through these collaborations, the Heurist platform is continuously expanding its influence and promoting the application and development of AI technology in various fields.

On the roadmap, the project will issue tokens in the fourth quarter of 2024, distribute airdrops of mining tokens in the first quarter of 2025 and launch developer API payment functions. Later in 2025, the staking function will be launched along with subsequent mining and ZK chain implementations. This platform will also activate the user payment function and verifier system. Users can participate by contributing GPUs (12 GB of video memory and above, such as GTX 3090 or 4090), participate in the Intract Points Campaign and engaging in the Create-to-earn activity within Heurist Imagine, minting AI NFTs to earn ZK tokens for participation.

Conclusion

The future cyber society will rely more on the interaction between AI and humans. Heurist addresses the issues of centralization risks, high costs, and low resource utilization associated with traditional centralized cloud services. It also introduces a novel approach for AI developers and users to utilize computing resources. Heurist is poised to become a bridge connecting AI technology and the future, driving societal development in a more intelligent direction. It aims to provide robust technical support for building a more intelligent, interconnected, and secure cyber society. For more information, users can access the project homepage, Discord, Twitter, and Medium.

Disclaimer:

  1. This article is reproduced from [ForesightNews]. Forward the Original Title “With AI narratives taking the lead, how does Heurist contribute to enhancing the computation of needs for Agents?”. The copyright belongs to the original author [Pzai, Foresight News]. If you have any objection to the reprint, please contact Gate Learn team, the team will handle it as soon as possible according to relevant procedures.
  2. Disclaimer: The views and opinions expressed in this article represent only the author’s personal views and do not constitute any investment advice.
  3. Other language versions of the article are translated by the Gate Learn team. Unless otherwise stated, the translated article may not be copied, distributed or plagiarized.
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