top of page

Destra Network Launches Public Testnet for AI Infrastructure on Ankr and Arbitrum Orbit

8/6/24

By:

Suresh

Destra Network Launches Public Testnet for AI Infrastructure on Ankr and Arbitrum Orbit

Destra Network Launches Public Testnet for AI Infrastructure on Ankr and Arbitrum Orbit

Destra Network is proud to announce the public launch of its L2 testnet, $DSYNC, built in collaboration with Ankr and Arbitrum Orbit. This innovative Layer 2 blockchain is designed to manage the AI infrastructure transactions of the Destra Ecosystem, offering a robust, stable, and secure environment.


Collaboration with Ankr and Arbitrum


For months, Destra Network has been working closely with Ankr to develop a blockchain capable of handling the complex AI infrastructure transactions of the Destra Ecosystem. The integration of Arbitrum Orbit at its core ensures the Destra L2 offers unparalleled speed, stability, and security, essential for managing AI services, GPU, and storage transactions.


Public Testnet Launch


Today marks the official public launch of the Destra chain's testnet. This milestone wouldn't have been possible without the dedicated efforts of the teams at Arbitrum Foundation and Ankr. Their expertise has been instrumental in creating a secure and robust decentralized AI infrastructure.


Technical Configuration


The configuration details for the Destra Testnet are as follows:

Final Thoughts


The collaboration with Ankr and Arbitrum has been a remarkable journey, pushing the boundaries of what’s possible within the Destra Ecosystem. As we continue to innovate, we invite the community to join us in building the future of decentralized AI.

#Blockchain #AIInfrastructure #L2Blockchain #Decentralization #DePINWorld

Latest News

11/2/24

October Peaq Review: Pre-Launch Milestones, Over 1.75M Devices, DePIN Growth, and More

11/2/24

Aethir and Sophon Partnership Unveiled: Transforming AI and Gaming with ZK Rollups, New Staking, and Binance Labs Support

9/9/24

CESS Network Launches AI-LINK: A Revolutionary Solution for Privacy-Preserving AI Model Training

bottom of page