Hivello’s Animoca-Backed DePIN Token Launch Signals a Turning Point for Decentralized Computing

On February 11, 2025, Hivello, a decentralized physical infrastructure network (DePIN) aggregator, launched its HVLO token on Gate.io and MEXC exchanges, backed by a strategic investment round led by Animoca Brands. The launch represents a significant milestone for the DePIN sector, which aims to decentralize computing resources by allowing users to monetize idle hardware. With Bitcoin trading at $95,747 and the broader crypto market showing renewed institutional interest, the convergence of AI compute demand and decentralized infrastructure is creating opportunities that extend far beyond traditional blockchain use cases.

The Synergy

The intersection of artificial intelligence and decentralized infrastructure represents one of the most compelling narratives in the current crypto cycle. AI models require enormous computational resources for training and inference, creating demand that centralized cloud providers struggle to meet efficiently. DePIN protocols like Hivello address this gap by creating decentralized marketplaces where anyone with computing resources — from gaming PCs to enterprise servers — can contribute to AI workloads and earn tokens in return.

Animoca Brands’ investment in Hivello is particularly significant given the company’s portfolio of over 540 Web3 investments. Yat Siu, co-founder and executive chairman of Animoca Brands, emphasized the alignment between digital property rights and decentralized computing, noting that both aim to give users ownership and control over their digital assets and resources. The funding round also included participation from Taisu Ventures, NGC, Blockchange, and Contango, signaling broad investor confidence in the DePIN aggregator model.

AI Use Cases in Web3

The DePIN model enables several critical AI use cases within the Web3 ecosystem. Distributed training of machine learning models can leverage idle GPU resources across a global network, reducing costs and increasing accessibility for smaller AI developers. Inference workloads — the process of running trained models to generate predictions — can be distributed geographically, reducing latency for end users. Data preprocessing and feature engineering, which are computationally intensive but often overlooked aspects of AI development, can also benefit from decentralized compute resources.

Hivello’s aggregator approach is notable because it simplifies user participation across multiple DePIN networks. Rather than requiring users to navigate the technical complexities of individual protocols, Hivello provides a unified interface where users can contribute their computing resources to multiple networks simultaneously. This lowers the barrier to entry and could accelerate the growth of the entire DePIN ecosystem. Solana, trading at approximately $197.98 on February 11, has emerged as a popular chain for DePIN projects due to its high throughput and low transaction costs.

Data Privacy Implications

The growth of decentralized computing networks raises important questions about data privacy. When computing workloads are distributed across a global network of independent node operators, ensuring that sensitive data is processed securely becomes a significant challenge. Zero-knowledge proofs and secure multi-party computation offer potential solutions, allowing data to be processed without revealing its contents to node operators. However, these technologies add computational overhead and complexity.

For AI workloads specifically, the privacy challenge is twofold: protecting the data used for training and inference, and protecting the intellectual property of the models themselves. Federated learning approaches, where models are trained across distributed datasets without centralizing the data, align naturally with DePIN architectures and could provide a path forward that respects both privacy and efficiency.

The Innovation Frontier

The HVLO token launch and Animoca investment point to a broader trend: the tokenization of physical infrastructure. By creating economic incentives for resource contribution, DePIN protocols are building the foundation for a more distributed and resilient computing ecosystem. This model has implications beyond AI — it could reshape content delivery networks, distributed storage, and even telecommunications infrastructure.

The aggregator model pioneered by Hivello could also serve as a template for other resource-sharing markets. If users can contribute computing resources across multiple networks through a single interface, similar aggregator models could emerge for bandwidth, storage, or even energy resources. The key innovation is reducing friction — making it as easy as possible for resource providers to participate and earn rewards.

Concluding Thoughts

Hivello’s token launch on February 11, 2025, backed by Animoca Brands and a consortium of Web3 investors, marks a meaningful step forward for the DePIN sector. As AI compute demand continues to grow exponentially and centralized providers face capacity constraints, decentralized alternatives offer a compelling value proposition. The challenges around privacy, security, and user experience remain significant, but the economic incentives created by tokenization provide a powerful mechanism for driving adoption. The convergence of AI and DePIN is not just a narrative — it is a structural shift in how computing resources are allocated and monetized.

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research before investing in any cryptocurrency or DePIN project.