AI

Marvell Technology (MRVL) is a global semiconductor company specializing in data infrastructure chip design. Its core operations span high-speed interconnect chips, custom ASICs, optical communications, and data center networking solutions — positioning it as a critical "connectivity layer" in AI data center architectures.

Custom ASICs are application-specific integrated circuits tailored for targeted use cases. Their core advantage lies in deeply optimizing computational paths at the hardware level, delivering higher performance efficiency and lower energy consumption than general-purpose chips. As demand for AI large model training and inference accelerates, computing power is no longer about simply being "more powerful" — it is undergoing a structural shift toward "greater efficiency and specialization."

At NVIDIA GTC 2026, Jensen Huang characterized the data center as a “token factory,” signaling AI’s transition from model competition to an inference-driven economy. This article delivers a comprehensive analysis of the AI token economy, computational power business models, and the structural dynamics underpinning the trillion-dollar market.

FET serves as the native token within the Fetch.ai network, playing a central role in supporting value exchange, protocol execution, and on-chain settlement among Autonomous Economic Agents (AEA). This allows machines and software to autonomously engage in economic activities without the need for centralized platforms.

Fetch.ai is a decentralized network that integrates artificial intelligence with blockchain infrastructure. Its architecture is built around Autonomous Economic Agents (AEA), allowing software and devices to perform tasks, exchange data, and settle value without relying on centralized platforms. By enabling machines to act as independent participants in economic systems, Fetch.ai introduces a new model where interactions are automated, data flows more efficiently, and transactions occur without direct human coordination. This approach lays the foundation for a smart economy in which intelligent agents continuously optimize decisions, resources, and outcomes across digital and real world environments.

USWR (United States Water Reserve) is a Solana-based crypto asset project built around the macro narrative of "Water Resources × AI Infrastructure." By leveraging on-chain tokens and data-driven modeling, it converts the strategic value of water in the AI era into a tradable digital asset. According to its official website, USWR positions water as a critical constraint in the operation of AI infrastructure, seeking to financially map this resource scarcity through on-chain mechanisms and market dynamics.

Why does AI infrastructure focus on water resources? USWR (United States Water Reserve) is an on-chain narrative token constructed around the intersection of “AI computing infrastructure” and “water resource constraints.” Its core logic converts the indispensable cooling water demand of data center operations into a digital asset narrative framework that the market can articulate. Through this approach, water resources become not merely natural resources, but a critical variable within the cost structure of AI system operations.

The core difference between MAGIC and gMAGIC lies in their respective functions: MAGIC is the freely tradable native ERC-20 token in the Treasure Network ecosystem, fulfilling utility roles including payment for Agent hashrate, in-app economy, and on-chain transfers; gMAGIC (Governance MAGIC) is a unit of governance voting power, created only when users stake MAGIC or deposit it into designated liquidity pools, and is used to vote on TIP proposals during the Snapshot phase. Holding liquid MAGIC does not automatically confer DAO voting rights.

Samsung SDI, a core battery and energy storage subsidiary of South Korea's Samsung Group, operates across power batteries, energy storage systems (ESS), and advanced electronic materials. It occupies a critical industry position amid rising demand for energy storage from global electric vehicles and AI data centers. With Gate's introduction of Korean stock trading, investors can now use USDT to directly trade KOSPI-listed new energy assets, enabling unified cross-market allocation and strategic investment in the global energy chain.

The core distinction between OKZOO and traditional DePIN projects lies in the type of resources the network produces and utilizes. Traditional DePIN projects center on infrastructure resources like hashrate, communication networks, bandwidth, or geolocation. In contrast, OKZOO focuses on environmental data collection and AI data infrastructure. Through P-mini devices, OKZOO gathers real-world environmental data and combines AI Pet and AIOT incentive mechanisms to build an AIoT network.

OKZOO (AIOT) is an AIoT infrastructure integrating AI, IoT, and blockchain networks, collecting real-world data through distributed environmental sensing devices and leveraging AI Pet interaction mechanisms and AIOT tokens to incentivize user data contributions. OKZOO aims to build a global environmental data network, providing trustworthy, Tiempo real, and verifiable data sources for AI models, smart devices, and real-world applications.

OKZOO collects real-world data—such as air quality, temperature, humidity, and noise—via its P-mini environmental sensing device, then uploads the data to a decentralized network for verification and recording. A full data upload process typically involves six stages: environmental data collection, device preprocessing, network verification, on-chain recording, AI data integration, and reward distribution. Unlike traditional IoT networks, OKZOO integrates data contribution, on-chain incentives, and AI use cases, enabling real-world data to continuously become verifiable digital assets and AI resources.

Portal (PORTAL) is an AI-native game creation platform built for game developers and content creators. Leveraging AI agents, automated content generation tools, and creator-first workflows, it unifies and automates the full game development pipeline — from concept and asset creation to testing and release. Portal's goal is to reduce the technical barriers to game development, allowing more individual creators to participate in game development using natural language and AI tools.

Prompt-to-Game is a development methodology that leverages generative AI to directly transform natural language prompts into game content. Creators simply input descriptions of characters, scenes, gameplay mechanics, or narrative backgrounds, and the AI system automatically generates game assets, interaction logic, and foundational gameplay frameworks, dramatically reducing the barrier to entry for game development. Portal positions Prompt-to-Game as a core component of its AI Native game creation ecosystem, handling requirement analysis, game design, asset generation, logic development, and automated testing through the coordinated efforts of multiple AI Agents.

Portal's AI Agent workflow is a game development system powered by multiple AI agents working in tandem, capable of turning creators' creative descriptions into playable game products step by step. The entire process typically covers requirements understanding, game design, asset generation, logic building, automated testing, and content publishing. Each agent handles specific tasks and coordinates with others through a centralized orchestration system.