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Central Research is a Hong Kong-based investment institution focused on Web 3 projects. Our main business includes investment, incubation and big demo day.
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dappOS Investment Research Report
dappOS is a project focused on simplifying blockchain operations and enhancing user experience through an "intent-centric" design. With this approach, users simply express their goals, and the system automatically handles complex operations such as cross-chain transfers and asset exchanges. dappOS builds an efficient execution network for developers and service providers, optimizing transaction processes by combining both on-chain and off-chain strategies. Its OMS (Optimistic Minimum Staking) me
zkSync Investment Research Report
Project Introduction
zkSync Era is an Ethereum-based Layer 2 scaling solution that leverages zero-knowledge proofs and Rollup architecture to offer faster and more cost-effective transaction experiences. By shifting most activities to Layer 2, zkSync Era reduces network congestion and lowers transaction fees while maintaining the security and finality of the Ethereum mainnet. As the 2.0 version of zkSync, zkSync Era significantly improves performance and functionality compared to its predecesso
zkSync Era is an Ethereum-based Layer 2 scaling solution that leverages zero-knowledge proofs and Rollup architecture to offer faster and more cost-effective transaction experiences. By shifting most activities to Layer 2, zkSync Era reduces network congestion and lowers transaction fees while maintaining the security and finality of the Ethereum mainnet. As the 2.0 version of zkSync, zkSync Era significantly improves performance and functionality compared to its predecesso
#第55期新币挖矿IO
Io.net
Dive into our latest research on io.net! This decentralized computing network is revolutionizing AI development and execution on the Solana blockchain. By aggregating underutilized resources from independent data centers, crypto miners, and projects like Filecoin and Render, io.net offers a robust solution to the growing demand for computing power.
- Key Highlights:
Flexible Composition: AI engineers can customize and combine various chips to create clusters tailored to their computing tasks, enhancing efficiency and flexibility.
Rapid Deployment: Unlike centralized providers like AWS that require weeks for approval, io.net enables task deployment in seconds, significantly speeding up workflows.
Cost Efficiency: With services priced up to 90% lower than mainstream providers, io.net makes high-performance computing more accessible and affordable.
- Product Functionality:
On the demand side, io.cloud allows users to define and deploy GPU clusters for AI computing tasks. Categorized into General, Train, and Inference scenarios, it helps users select GPUs based on performance needs. On the supply side, IO Worker optimizes operations for suppliers with features like account management, real-time monitoring, and profitability analysis.
- Market and Growth:
With over 28,000 GPUs and 6,000 CPUs, io.net has rapidly expanded its supply side. Despite early-stage market cultivation on the demand side, the platform has processed over 319,000 AI inference tasks, generating significant fees.
- Challenges and Opportunities:
While io.net faces technical, regulatory, and market adoption challenges, its innovative approach and strategic partnerships position it as a leader in the decentralized computing space.
Dive deeper and explore all the insights in our full report.
Io.net
Dive into our latest research on io.net! This decentralized computing network is revolutionizing AI development and execution on the Solana blockchain. By aggregating underutilized resources from independent data centers, crypto miners, and projects like Filecoin and Render, io.net offers a robust solution to the growing demand for computing power.
- Key Highlights:
Flexible Composition: AI engineers can customize and combine various chips to create clusters tailored to their computing tasks, enhancing efficiency and flexibility.
Rapid Deployment: Unlike centralized providers like AWS that require weeks for approval, io.net enables task deployment in seconds, significantly speeding up workflows.
Cost Efficiency: With services priced up to 90% lower than mainstream providers, io.net makes high-performance computing more accessible and affordable.
- Product Functionality:
On the demand side, io.cloud allows users to define and deploy GPU clusters for AI computing tasks. Categorized into General, Train, and Inference scenarios, it helps users select GPUs based on performance needs. On the supply side, IO Worker optimizes operations for suppliers with features like account management, real-time monitoring, and profitability analysis.
- Market and Growth:
With over 28,000 GPUs and 6,000 CPUs, io.net has rapidly expanded its supply side. Despite early-stage market cultivation on the demand side, the platform has processed over 319,000 AI inference tasks, generating significant fees.
- Challenges and Opportunities:
While io.net faces technical, regulatory, and market adoption challenges, its innovative approach and strategic partnerships position it as a leader in the decentralized computing space.
Dive deeper and explore all the insights in our full report.
IO.NET Project Investment Research Report
Project Introduction
io.net is a decentralized computing network that supports the development, execution, and scaling of ML applications on the Solana blockchain. It aggregates underutilized resources, such as GPUs from independent data centers, crypto miners, and crypto projects like Filecoin and Render, to address this issue.
The main selling points of io.net are:
Flexible Composition: AI engineers can freely select and combine the chips they need to form a "cluster" to complete their computi
io.net is a decentralized computing network that supports the development, execution, and scaling of ML applications on the Solana blockchain. It aggregates underutilized resources, such as GPUs from independent data centers, crypto miners, and crypto projects like Filecoin and Render, to address this issue.
The main selling points of io.net are:
Flexible Composition: AI engineers can freely select and combine the chips they need to form a "cluster" to complete their computi