Mawari, a pioneer of next-generation communication and entertainment through AI-driven immersive 3D experiences, today announced its groundbreaking decentralized infrastructure offering (DIO) to meet the growing global demand for real-time AI-driven 3D content.

Through DIO, Mawari invites global computing resource owners to become guardian node operators, directly contributing to a decentralized, scalable infrastructure network that supports next-generation digital content—immersive and complex 3D experiences, including lifelike 3D virtual human AI agents—delivered rapidly and cost-effectively to devices worldwide.

Revenue-Generating Network Based on Real Demand

Mawari’s infrastructure expansion is driven by the global growth in demand for AI-powered immersive content. Founded in 2017, Mawari has leveraged its patented spatial computing technology to deliver over 50 successful commercial projects for leading global brands including Netflix, KDDI, T-Mobile, and BMW. Even in its early stages, Mawari achieved an average annual revenue of $1.5 million, and its strong track record positions it well to meet both current and future demands, with the spatial computing market expected to reach $377.45 billion by 2030.

DIO marks the next stage of Mawari’s growth, expanding its decentralized network to meet the global demand for high-quality AI-driven immersive 3D content.

Transparent, Fair, and Sustainable Infrastructure

Unlike traditional node sales, which are often characterized by short-term hype and fear of missing out (FOMO), Mawari’s DIO focuses on true utility, fairness, and long-term sustainability. Guardian node operators will contribute meaningfully and measurably by actively monitoring and ensuring the health and proper operation of the network. In return, operators will receive sustainable rewards directly tied to network revenue and actual usage.

Clear Rewards for Real Contributions

Guardian node operators primarily earn through network monitoring rewards, which represent 20% of Mawari network’s total revenue. As global network demand grows, operator rewards dynamically adjust to directly reflect their contributions to increasing network activity and revenue.

Additionally, Mawari offers early operator incentives, allocating tokens per node license to reward early operators who maintain high reliability and operational standards during the network’s initial growth phase.

Key Differentiators of Mawari DIO:

• Dynamic Revenue Sharing: Rewards are earned directly based on actual network growth and revenue generation.
• Early Operator Incentives: Rewards are distributed during the initial network deployment to ensure early returns.
• Fair Pricing and Access: Uniform pricing and equal opportunities are provided across all three guardian node license tiers.
• Ease of Operation: Users seeking convenience can delegate node management to trusted third-party Node-as-a-Service providers to simplify operations.
• Long-Term Opportunities: Mawari’s guardian nodes will play a critical role throughout the network’s lifecycle, monitoring the network and creating ongoing work and reward opportunities for operators as Mawari and the broader XR space expand.

“Our guardian node operators are not passive speculators—they are actively supporting the critical infrastructure for global immersive 3D and AI experiences,” said Luis Oscar Ramirez, CEO of Mawari. “By aligning operator rewards directly with real network-driven growth, we are building a fair, transparent, and sustainable infrastructure for long-term development.”

Strategic Partnerships Accelerating Global Expansion

Mawari’s infrastructure strength is bolstered through partnerships with global leaders, including Japan’s top telecom provider KDDI and Animoca Brands Japan (a subsidiary of Animoca Brands). Animoca Brands Japan will host a private sale of guardian node licenses to expand participation and further strengthen the network. Infrastructure service partners such as Easeflow, DepinHub, Zelucash, and Bitmedia (in collaboration with KDDI) offer seamless operational options for guardian node operators.

Market Demand Driving Network Innovation

The growing demand for immersive, AI-powered experiences is driving rapid innovation in Mawari’s mobile edge computing (MEC) infrastructure. This infrastructure supports realistic, interactive 3D virtual human agents for applications such as tour guidance, customer service, and corporate support. Moreover, Mawari’s network supports broader edge AI computing workloads, significantly expanding potential use cases and revenue opportunities.

Mawari uses a dedicated L2/L3 blockchain built on Arbitrum Orbit to ensure scalable, secure, and decentralized infrastructure globally.

How to Participate

Guardian node licenses will go on sale in early June, priced at $333 per license, and will be available only to approved regions via the Arbitrum chain. Guardian nodes perform critical tasks to ensure network reliability and directly benefit from Mawari’s global growth in the spatial computing sector.

Interested computing resource owners can join Mawari and help shape the future of immersive technology. The operational costs and requirements for running guardian nodes are transparent, offering meaningful participation opportunities for everyone.

About Mawari

Mawari is the world’s first decentralized infrastructure network (DePIN) for spatial computing, enabling widespread deployment of AI agents. The Mawari network supports near real-time global streaming of immersive AI-powered experiences, with almost no latency. Mawari seamlessly integrates AI with XR, delivering lifelike 3D virtual human AI agents today.

Disclaimer:

1. This article is reprinted from [Techflow]. All copyrights belong to the original author [Techflow]. If there are any objections to this reprint, please contact the Gate Learn team, and the team will handle the matter according to the 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 have been translated by the Gate Learn team. Without explicit mention of Gate.io, copying, distributing, or plagiarizing the translated articles is prohibited.