In this post:
- The decentralized physical infrastructure network io.net partnered with AI decentralized data execution network Alpha to create a safer Web3 and AI applications environment.
- The collaboration will take advantage of io.net’s decentralized GPU network and Alpha Network’s data privacy features to achieve the goal.Â
- The companies’ executives explained that the collaboration would propel the development of secure web3 and AI infrastructure.Â
io.net, a decentralized physical infrastructure network (DePIN), announced its partnership with the first decentralized AI data execution layer, Alpha Network, to create a more secure Web3 and AI application environment. The companies also divulged that the partnership would offer more freedom in AI infrastructure access while addressing present data security challenges. The announcement revealed that the steps would help developers create more powerful decentralized applications.
io.net and Alpha Network have established themselves in the web3, AI, and machine learning industries to promote easier application approaches, including reduced costs, better security, and scalable infrastructure. The announcement differentiated the companies’ roles in the collaboration, stating io.net’s importance in providing computing power and Alpha Network’s provision of privacy and secure data.
Alpha Network, which rebranded from KEKKAI in October last year, stated its mission to provide more efficient, regulated, and secure ways to collect and process AI training data. The Web3 company reiterated in its rebranding announcement the need for more accurate training data to develop more accurate AI models. The firm further explained the current challenges facing accurate and compliant data collection, including the increasing entries in the AI market.
The io.net DePIN ecosystem is built on the Solana blockchain. The company mentioned that its mission was to offer cheaper and easier access to computing resources through its decentralized GPU clusters to help developers create more advanced AI and machine learning applications efficiently. Developers leverage io.net’s token, the IO token, to pay for the computing resources they get from the company.
Alpha Network and io.net promote decentralization in Web3 and AI
io.net and Alpha Network expressed their goals of achieving decentralization in their functions through the partnership. The decentralized data execution layer network stated that leveraging the io.net decentralized GPU cluster units would reduce its dependence on traditional trusted environments during data collection. Alpha Network further explained that it would use the io.net computing infrastructure in a ‘decentralized sandbox-free’ way. The network also mentioned its plan to use zero-knowledge technology to ensure data privacy and security.
The io.net Chief Business Development Officer, Tausif Ahmed, commented that the companies would maintain decentralization, privacy, security, and compliance while promoting innovation within AI and Web3 applications. Alpha Network’s CEO, Lina Zhang, agreed that the partnership would help the companies go beyond the boundaries of what Web3 and AI can do. Zhang also reiterated that the partnership would help Alpha Network achieve high-quality datasets for AI training.
The companies revealed that Alpha Network would manage data sharding using io.net’s infrastructure beyond decentralisation and security. The executives mentioned that sharding would help Alpha Network manage huge datasets with more accuracy.
io.net increases strategic partnerships in AI
io.net’s collaboration with Alpha Network is among the many strategic partnerships with different AI-based companies, including KREA and ai16z. The decentralized GPU cluster provider announced on January 7 on X about joining the ai16z ecosystem to provide the platform with decentralized computing units. The company confirmed the role of decentralized computing units in establishing a decentralized network of AI agents.
The DeIN network also announced its partnership with KREA to avail the latter of a huge GPU bandwidth to manage its growing clientele. io.net stated the growing shortage of GPU computational power globally, which slows down projects. The GPU cluster provider added that KREA could focus more on AI development with the bandwidth provided by io.net.
