Ocean
Meet Ocean: Tokenized AI & Data. Monetize AI models & data while preserving privacy.
Meet Ocean: Tokenized AI & Data. Monetize AI models & data while preserving privacy.
Ocean Protocol has officially launched Ocean Network Inference, a compute service for AI builders and creators that offers dedicated GPUs with transparent, upfront pricing. Users see the full cost before committing, and the first six hours of usage are free. The launch is positioned as the next step for ONcompute, giving teams reliable inference infrastructure without opaque billing.
Ocean Protocol launched its Ocean Network Inference service offering dedicated GPUs with transparent pricing and six free hours for new users.
The token merger was implemented starting July 1, 2024, temporarily consolidating SingularityNET's AGIX and Ocean Protocol's OCEAN tokens into Fetch.ai's FET before transitioning to the ASI ticker.
The three AI-focused protocols announced a multi-billion-token merger, with OCEAN and AGIX to be consolidated into FET (rebranded ASI), forming the Artificial Superintelligence Alliance.
Ocean released V3, featuring datatokens, the Ocean Market, and Initial Data Offerings (IDOs), and deployed its smart contracts to Ethereum mainnet, moving from a permissioned PoA network to a permissionless deployment.
Ocean announced the release of Compute-to-Data, which enables sharing, buying, and selling of private data while preserving privacy by shifting computation to the data source.
Ocean launched its Proof-of-Authority mainnet, Pacific, marking the v1.0 milestone. OCEAN tokens became usable on the network, with a token bridge to Ethereum mainnet and the Commons Marketplace for free data.
Ocean Protocol conducted an IEO on Bittrex beginning April 30, 2019 (TGE concluded May 3, 2019), offering 56.4 million OCEAN tokens at about $0.12 and raising roughly $6 million.
Ocean Protocol was founded in 2017 by BigchainDB founder Bruce Pon and AI/design expert Trent McConaghy to build a decentralized data exchange that unlocks data for AI while preserving privacy and control.
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