Reddio Launches Mainnet Alpha with GPU-Powered Parallel EVM

Reddio Launches Mainnet Alpha with GPU-Powered Parallel EVM

In Summary

  • Reddio debuts Mainnet Alpha with world’s first GPU-powered Parallel EVM.
  • Supports over 13,000 TPS and AI-native smart contract execution.
  • $RDO token powers fees, incentives, and dev rewards.
  • Partners like Bitget Wallet and QuBit are building AI-powered apps.


Catenaa, Tuesday, July 08, 2025- Reddio has launched its Mainnet Alpha, introducing the world’s first GPU-accelerated Parallel EVM to bring real-time, AI-native applications on-chain.

The debut follows a successful testnet phase that processed over 131 million transactions and supported more than 19 million wallets, marking a significant milestone for compute-intensive blockchain development.

The Reddio token ($RDO), now live on the network, powers transaction fees, sequencer incentives and developer rewards.
The platform boasts a CUDA-compatible EVM bytecode executor, enabling on-chain AI inferencing and intelligent decision-making in decentralized environments.

Its design supports over 13,000 transactions per second while maintaining Ethereum-level security.

The Mainnet Alpha includes modular SDKs, allowing developers to deploy scalable OP and ZK appchains quickly. Backed by an Ethereum Foundation grant, the project is working to make decentralized AI computation seamless and efficient.

Reddio’s roadmap includes expansion to BNB Chain, GPU decentralization and further performance upgrades.

Key applications span DeFi, micropayments and AI-driven protocols. Ecosystem partners such as Aizel Network, Bitget Wallet and QuBit are building AI-secured verification systems, real-time payments and advanced trading bots on the platform.

Alpha phase users can already deploy dApps with full functionality, while broader performance boosts and infrastructure upgrades are expected in the final launch.

Developers are invited to build next-generation applications on Reddio’s GPU-ready infrastructure, which combines on-chain autonomy, modular flexibility and low-latency scalability for AI-native solutions.

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