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Streamr Network 1.0 Mainnet Launches, Fulfilling the 2017 Roadmap’s Vision of Decentralized Data Broadcasting
Streamr Network 1.0 revolutionizes decentralized data broadcasting with key innovations and exploration of new use cases in AI and video streaming.
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Zug, Switzerland, March 19th, 2024, Chainwire – Streamr has announced the launch of the Streamr Network 1.0 mainnet, a landmark milestone that signifies the completion of the originalย 2017 roadmap. 1.0 introduces the full deployment of the $DATA token incentive layer, transforming the network into a feature-complete, fully decentralized protocol run and operated by its users.
The culmination of over six years of research and development, three rounds of incentivized testnets, and overcoming a technical hurdle that caused a last minute launch abort, Streamr 1.0 means decentralized data broadcasting has arrived.
Key features of Streamr 1.0:
- Fully deployed tokenomics:ย The activation of theย $DATA token incentive layer, means the Streamr Network can operate autonomously from the team as a neutral, fully decentralized messaging protocol.
- Introduction of new network roles:ย The peer-to-peer market forces between Sponsors, Operators, and Delegators are unlocked.
- Stream sponsorships:ย Sponsors create and fund stream Sponsorships and staked Operators earn from them. These smart contracts manage the reward distribution among Operators, who run nodes and help to relay the data inside it.
- Trackerless network architecture:ย The transition to a trackerless architecture, leveraging a globally distributed hash table (DHT) for enhanced efficiency and scalability.
- New benefits to node operators:ย With 1.0, it’s now possible to accept delegations and take a cut from the earnings, therefore allowing node operators the chance to earn more.ย 1.0 also brings other enhancements for node operators, including the removal of node limits per IP, immediate reward claiming from active Sponsorships, and other quality of life improvements.
New use cases unlocked:
1.0 sets the stage for exploring new use cases in areas such as Decentralized Physical Infrastructure Networks (DePIN), decentralized AI, and decentralized video streaming.
Decentralized video streaming: Streamr is exploring decentralized live video streaming, testing its capacity to deliver scalable and stable video feeds to viewers at scale. By leveraging the networkโs peer-to-peer protocol, Streamr can eliminate the reliance on centralized distribution points, allowing viewers to directly contribute to the broadcasting network as they consume the content, optimizing efficiency and scalability.
DePIN: Streamr 1.0 enhances the capacity for DePINs to transition from centralized data pipelines to a fully decentralized array of contributors. The networkโs serverless, secure, and scalable framework is ideal for broadcasting data from and between connected devices, moving DePINs towards a truly distributed architecture.
Decentralized AI: The 1.0 milestone has the potential toย transform artificial intelligenceย by positioning Streamr as a neutral data layer, offering secure data streams for AI development, reliability, and transparency. With Streamr, AI models can interconnect, share insights, plug into real-time tuning data, live content distribution, and collectively enhance their intelligence. Integrating with a decentralized framework can provide a step towards ensuring AI operations are more open, verifiable, and up-to-date.
These changes, alongside the exploration of new use cases, underscore Streamr’s commitment to pushing the boundaries of what’s possible in the realm of decentralized technologies.
About Streamr
Streamrย is building the real-time data protocol of the decentralized web. This includes a scalable, low-latency and secure P2P Network for data broadcasting, delivery, and exchange. As part of the vision, Streamr has built The Hubโa dApp that champions open data to help DePin, AI, and Web3 builders decentralize their tech stack with real-time data flows. The Streamr project was started by real-time data veterans with backgrounds in algorithmic trading and finance markets.
Contact
CMO
Mark Little
Streamr Network
[email protected]
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