io.net Achieves Record Revenue Growth and Expands Partnerships in Q4 2024
Thursday, March 6, 2025 12:00 AM
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In the fourth quarter of 2024, io.net experienced remarkable growth, with revenue surging by 565% quarter-over-quarter, reaching an all-time high of $3.1 million. This significant increase was driven by three consecutive months of record-breaking monthly revenue, which also contributed to an annualized revenue rate of $12.5 million. Additionally, the market capitalization of IO, the native token of io.net, doubled from $187.3 million in Q3 to $375.6 million in Q4, reflecting a 48% increase in token price and a 36% rise in circulating supply. Despite a decrease in the daily median number of verified GPUs and CPUs, io.net maintained a robust operational framework, averaging 7,600 verified GPUs and 1,200 CPUs per day.
The decentralized network of io.net, designed to provide scalable and efficient access to compute resources, has also formed 13 new partnerships aimed at leveraging its infrastructure for various applications, including AI agents and identity management solutions. Notably, io.net’s collaboration with Dell Technologies integrates its decentralized GPU compute network with Dell’s hardware, enhancing the capabilities for enterprises needing scalable GPU clusters for complex workloads. Furthermore, partnerships with organizations like Zerebro and OpenLedgerHQ showcase io.net’s commitment to enhancing Ethereum validator operations and combining blockchain-secured datasets with decentralized compute resources, respectively.
Looking ahead, io.net’s emission schedule for the IO token projects the distribution of 9.3 million IO to GPU and CPU workers in the first quarter of 2025, with an average of 103,000 IO emitted daily. The network’s stringent hardware requirements and hourly Proof-of-Work verification process ensure the authenticity and performance of its decentralized compute resources. As io.net continues to expand its partnerships and enhance its infrastructure, it solidifies its position as a leading platform in the decentralized computing landscape, catering to the growing demands of AI and machine learning applications.
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