Topics of Crypto World

Sahara AI Marketplace is the AI asset trading and collaboration platform within the Sahara AI ecosystem. It is used for uploading, licensing, calling, and distributing revenue from AI data, models, inference services, and AI Agents. Its core goal is to build an open and verifiable AI collaboration economy. Unlike traditional AI platforms, Sahara AI Marketplace records the sources of AI data and models through an on-chain Attribution mechanism, and automatically handles authorization and revenue settlement during AI service calls. This allows data contributors, model developers, and service providers to receive transparent revenue distribution.

Sahara AI and Bittensor are both decentralized AI infrastructure projects, but their core positioning is not the same. Sahara AI places greater emphasis on a collaborative system for AI data, models, Agents, and revenue distribution, while Bittensor focuses more on AI model inference networks and model competition mechanisms. Sahara AI uses an AI native Layer1 blockchain architecture, managing AI asset authorization, trading, and revenue distribution through Attribution and an AI Marketplace. Bittensor, by contrast, uses Subnets and incentive mechanisms to encourage model providers to produce high quality AI inference results.

Zano (ZANO) is a Layer 1 public blockchain built with default privacy as a fundamental feature, specializing in hiding transaction amounts, sender and receiver addresses, and asset types. It unifies privacy payments, private asset issuance, confidential trading, and private staking within a single on-chain protocol layer. Unlike conventional privacy coins that concentrate solely on anonymous transfers, Zano seeks to solve the problem of privacy financial infrastructure, empowering users to not only make anonymous transfers but also create, trade, and use confidential assets.

Zano is a Layer 1 public blockchain focused on default privacy. Its anonymous transaction system leverages ring signatures, stealth addresses, Pedersen Commitments, Bulletproofs+, Zarcanum, and confidential asset mechanisms to obscure the sender, receiver, amount, and even the asset type. As a result, on-chain observers can usually only verify that a transaction took place, but cannot directly access any transaction details.

Dolphin (POD) is a Web3 AI infrastructure project built for decentralized AI inference and distributed GPU collaboration. Its core product, Dolphin Network, allows GPU owners around the world to share idle computing power and provide distributed inference services for AI models. Network participants can earn POD token rewards by processing inference requests, while developers gain access to AI capabilities in a more open and cost efficient way.

The core logic of Dolphin Network is to distribute AI model inference tasks across GPU nodes around the world for collaborative processing. Developers can call AI inference services through the network, while GPU owners can contribute idle computing power to execute tasks and earn DPHN token rewards. Through task scheduling, random validation, encryption, and economic incentives, Dolphin coordinates AI inference requests, GPU nodes, and result verification, forming a distributed AI inference infrastructure.

Dolphin and Render are both DePIN projects that use distributed GPU resources to build infrastructure, but their core directions are not the same. Render is mainly focused on GPU rendering and digital content generation, while Dolphin is more centered on decentralized AI inference and AI infrastructure networks.

Confidential Assets is the confidential asset standard for the Zano public blockchain. Its primary feature is that, throughout asset issuance, transfers, and trades, it hides the sender, receiver, amount, and asset type. As a result, on-chain observers can typically verify that trading activity has taken place on the network, but are unable to directly identify the specific assets held or transferred by users.

The AI industry is evolving from a focus on training competition to the implementation of inference. While chips, HBM, and advanced packaging continue to be major bottlenecks, the fastest-growing areas are now inference infrastructure, data centers, power supply, cooling, and high-speed interconnects. Based on recent publicly available information, this article examines the most important AI infrastructure trends to follow in the next 2–3 years.

Kaia (KAIA) is an EVM-compatible Layer 1 blockchain formed through the merger of Klaytn, which was supported by South Korea’s internet ecosystem, and Finschia, LINE’s Web3 network. It focuses on stablecoin payments, on-chain finance, and Web3 application infrastructure. Through a high-performance network, low transaction costs, and integration with super app ecosystems such as LINE, Kaia aims to support large-scale Web3 user onboarding in Asia and enable use cases such as DeFi, payments, RWA, and Mini DApps.

Kaia Mini DApps are lightweight Web3 applications that run on the Kaia blockchain and can be embedded directly into super app ecosystems such as LINE. Compared with traditional DApps, Mini DApps lower the operational barrier for ordinary users entering Web3 through Gas Fee Delegation, simplified wallet interactions, and in-app access. Their workflow usually includes user entry, account connection, on-chain transaction execution, and application result feedback. They are used in payments, blockchain games, digital assets, and social Web3 scenarios.

Gas Fee Delegation is a gas fee payment mechanism provided by the Kaia blockchain. It allows application developers or service providers to pay on-chain transaction fees on behalf of users. Compared with traditional blockchains, where users must hold the native token before completing a transaction, Kaia’s gasless mechanism lowers the barrier to Web3 adoption and improves the user experience in Mini DApps, payments, and super app scenarios. The process usually includes transaction generation, user signing, fee delegation, and on-chain confirmation.

KAIA is the native token of the Kaia network, created through the gradual integration of Klaytn’s KLAY and Finschia’s FNSA after the network merger. This conversion involves more than a change in token name. It also includes the integration of governance systems, validator structures, and ecosystem resources. KLAY and FNSA holders can complete the asset conversion through the official migration mechanism, while Kaia uses a unified network and token system to further support stablecoin payments, Mini DApps, and the growth of Asia’s Web3 ecosystem.

Ripple USD (RLUSD) is a dollar-backed stablecoin issued by Ripple. It is pegged to the U.S. dollar at a 1:1 ratio and deployed on both XRP Ledger (XRPL) and Ethereum. RLUSD is mainly used for cross-border payments, on-chain settlement, institutional fund transfers, and decentralized finance (DeFi) scenarios. Its goal is to provide a more stable digital settlement asset within Ripple’s payments ecosystem.

Gate AI is a general-purpose AI assistant developed by Gate, capable of conversational Q&A, information search, data insights, and task execution, enabling users to efficiently obtain answers and complete tasks via natural language. By integrating platform content, real-time information, and intelligent recommendations, Gate AI delivers a seamless experience for information retrieval and solution generation, and is evolving into the unified entry point for the Gate AI ecosystem.