Technology

Nexus and zkSync are both important projects in the zero-knowledge proof (ZK) sector, but their core goals are different. zkSync is mainly an Ethereum-based zkRollup scaling solution focused on increasing Layer 2 transaction throughput and reducing gas costs. Nexus, by contrast, places greater emphasis on Verifiable Computation and a distributed proving network, aiming to build zk infrastructure for AI and Verifiable Finance.

Verifiable Finance is an on-chain financial architecture that combines zero-knowledge proofs (ZK) with Verifiable Computation. Its core goal is to improve the verification efficiency of complex financial systems without sacrificing transparency or decentralization. Compared with traditional on-chain finance, which mainly focuses on asset trading and liquidity management, Verifiable Finance places greater emphasis on whether the financial logic itself can be verified.

Nexus zkVM is the Zero-Knowledge Virtual Machine in the Nexus network. It is used to generate a corresponding zero-knowledge proof, or zk proof, after a program is executed, enabling verifiable computation. Unlike traditional virtual machines, which are only responsible for executing programs, zkVM can also prove that a program was executed according to its defined logic and allow other nodes to verify the result without rerunning the program.

Nexus (NEX) is a Layer 1 blockchain network built on zero-knowledge proof (ZK) technology and a zkVM architecture. It is designed to enable Verifiable Computation and Verifiable Finance. Through a modular proving network, distributed verification mechanism, and high-performance execution layer, Nexus allows complex computations to be verified on-chain at a lower cost.

Canton and Hyperledger Fabric are both blockchain infrastructures tailored for enterprise and institutional scenarios, yet they differ significantly in their design goals and core architecture. Hyperledger Fabric prioritizes permission management within consortium blockchains and enterprise collaboration, whereas Canton concentrates on cross-network synchronization, institution-grade interoperability, and atomic-level financial settlement.

Livepeer and Theta are both used for decentralized video infrastructure, but their core positioning is not the same. Livepeer focuses more on video transcoding, GPU-based video computation, and real-time AI video processing, while Theta places greater emphasis on video content distribution, edge node networks, and a decentralized CDN ecosystem.

Livepeer is a decentralized video and AI video infrastructure network. Its core operating mechanism includes video task distribution, GPU-based video transcoding, and on-chain incentive coordination. When a user uploads a video, the Gateway sends the task to an Orchestrator node, which then uses GPU resources to complete video transcoding or AI video processing.

Algorand (ALGO) is a Layer1 blockchain built on the Pure Proof of Stake (PPoS) mechanism. Its core goal is to achieve high throughput, low latency, and instant finality while maintaining security and decentralization. Unlike traditional blockchains that rely on fixed validator nodes or miners competing to produce blocks, Algorand confirms blocks through a randomized validation mechanism, reducing network energy consumption and improving overall efficiency.

As onchain finance continues to gain traction, the barrier to entry remains a critical challenge. This article offers an educational overview of the integration between Alchemy and Privy, illustrating how it streamlines registration, trade, and wallet operations to make the Web3 experience more aligned with conventional online services.

Flare Network is a Layer 1 blockchain centered on data acquisition and cross-chain interoperability. Through its embedded oracle system, FTSO, and Data Connector, it allows smart contracts to securely access off-chain data and the state of other blockchains, expanding what DeFi and multichain applications can do. Its goal is to solve the data silo problem in the blockchain ecosystem and provide more general-purpose data infrastructure for Web3.

Tagger (TAG) is a blockchain-based decentralized data annotation network that uses crowdsourcing mechanisms, AI-assisted tools, and on-chain validation systems to produce and circulate high-quality data. As artificial intelligence drives explosive growth in demand for data, Tagger is being widely used in scenarios such as AI training data generation, data annotation, and data trading.

Tagger (TAG) is a Web3 infrastructure designed to build a decentralized AI data annotation and data trading network. By combining blockchain with crowdsourcing mechanisms, it integrates data collection, annotation, validation, and circulation into a unified process. As artificial intelligence drives explosive growth in demand for high-quality data, Tagger is being widely used in scenarios such as AI training data, data crowdsourcing, and data marketplaces.

Storj is a decentralized cloud storage platform built on a distributed node network, providing S3-compatible object storage, data sharding encryption, and erasure code redundancy. By integrating acquisition and product upgrade updates from 2025–2026, this report systematically analyzes its network architecture, performance and security characteristics, management mechanisms, and future optimization strategies.

Arweave is a decentralized storage protocol designed for permanent data storage. Through its unique data structure and economic model, it allows users to pay once and preserve data over the long term. As demand for Web3 and on chain data continues to grow, Arweave is widely used in NFT storage, decentralized websites, data archiving, and other scenarios.

Arweave (AR) is a blockchain network designed for permanent data storage. Through a one time payment model, it allows data to be preserved on-chain over the long term. As Web3 applications continue to develop, decentralized storage has become a key layer of infrastructure, and Arweave is widely used for NFT metadata, historical archives, decentralized websites, and similar scenarios.