We are happy to announce the listing of $IO. Starting on Wednesday, 15th January 2025, at 12 PM CET. LCX Exchange will support the $IO.
LCX Exchange is excited to announce the listing of $IO.
Starting on Wednesday, 15th January 2025, at 12 PM CET, LCX Exchange will support the $IO token. Deposits will begin on Wednesday, 15th January 2025, at 12 PM CET. The trading pair $IO / EUR will be listed.
What is $IO?
io.net (IO) is built on the IOG Network, a decentralized physical infrastructure network that provides access to on-demand compute through independently operated hardware nodes. This decentralized GPU network offers affordable and efficient cloud computing resources for machine learning and AI applications, utilizing GPUs from various sources.
At its core, io.net leverages a blockchain to ensure the security and integrity of its operations. The blockchain records all transactions and interactions within the network, making it transparent and tamper-proof. This decentralized ledger is maintained by a network of nodes, each of which holds a copy of the blockchain. These nodes work together to validate and record new transactions, ensuring that all data is accurate and consistent across the network.
What are the real-world applications of io.net?
io.net (IO) is revolutionizing the way we think about cloud computing and artificial intelligence. As the world’s largest decentralized AI computing network, it offers a unique platform for machine learning engineers to access scalable distributed clusters at a fraction of the cost of traditional centralized services.
This is particularly beneficial for those working on machine learning and AI applications, as it provides affordable and efficient cloud computing resources on the Solana blockchain.
One of the standout features of io.net is its ability to create clusters of tens of thousands of GPUs, whether they are co-located or geo-distributed, while maintaining low latency for deployers. This capability is crucial for applications that require significant computational power, such as large-scale data analysis, complex simulations, and real-time processing tasks.
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