AurumX, a multi-chain, globally compliant financial system for universal assets, has partnered with PinGo. $t– Built AI + DePIN entities. This partnership aims to drive the evolution of decentralized AI infrastructure. According to AurumX’s official social media announcement, the move will accelerate the expansion of AI-driven blockchain solutions. As such, both companies are focused on providing a secure, effective, and scalable on-chain ecosystem to support global technological and financial innovation.
🍀 AurumX is excited to partner with @PinGoAI
PinGo is an AI + DePIN platform. $tbridging idle computing resources to a unified, scalable infrastructure for AI and data processing.
⚙️AurumX and PinGo together globally unify decentralized computing networks… pic.twitter.com/KGClJ7Mvie
— AurumX (@aurumx_infra) April 2, 2026
AurumX and PinGo work together to unlock unused compute for decentralized AI applications
In partnership with PinGo, AurumX plans to revolutionize decentralized AI-driven networking and computing. In this respect, PinGo $t Leverage blockchain to transform unused computing resources into decentralized infrastructure that powers robust AI apps. By establishing a marketplace for unused computing, the platform enables organizations and individuals to contribute resources and earn rewards, fostering a hybrid digital economy. Each model not only reduces waste but also democratizes next-generation computing access.
Enhanced seamless DePIN integration with the financial ecosystem
Additionally, PinGo’s integration ensures seamless connectivity between such decentralized ecosystems and financial networks, paving a unique path for AI-driven apps that handle the management of digital assets, payments, and DeFi. According to AurumX, this move highlights the importance of decentralized physical infrastructure networks (DePIN) in the blockchain industry. This effort aligns with a broader trend of using decentralized networks to power high-demand apps such as machine learning, real-time financial processing, and large-scale data analytics.

