AurumX, a multi-chain and global compliant financial system dealing with universal assets, has partnered with PinGo, a $TON-built AI + DePIN entity. The partnership aims to drive the evolution of decentralized AI infrastructure. According to AurumX’s official announcement on social media, this move is intended to promote the expansion of AI-led blockchain solutions. Both companies therefore focus on providing safe, effective and scalable ecosystems in the chain to support global technological and financial innovation.
🍀 AurumX is excited to partner with @PinGoAI
PinGo is an AI+DePIN platform on $TONbridging idle computing resources to a unified, scalable AI and data processing infrastructure.
⚙️Together, AurumX and PinGo will integrate decentralized computing networks with global… pic.twitter.com/KGClJ7Mvie
— AurumX (@aurumx_infra) April 2, 2026
AurumX and PinGo are working together to unlock unused computing power for decentralized AI applications
In partnership with PinGo, AurumX will revolutionize decentralized AI-driven networking and computing. In this regard, PinGo uses the $TON blockchain and converts untapped computing resources, becoming a decentralized infrastructure for powering robust AI apps. By creating a marketplace for unused computing power, the platform enables organizations and individuals to contribute their resources to earn rewards, fostering a combined digital economy. The model in question reduces waste and democratizes access to next-generation computing.
Strengthening seamless DePIN integration with financial ecosystems
Furthermore, PinGo’s integration ensures the seamless connection between such decentralized ecosystems and financial networks, opening up unique avenues for AI-led apps dealing with digital asset management, payments and DeFi. According to AurumX, this move highlights the significance of Decentralized Physical Infrastructure Networks (DePINs) in the blockchain landscape. This initiative is in line with the broader trend of using decentralized networks to support demanding apps such as machine learning, real-time financial processing and big data analytics.
