- Compare
- ICP vs OpenGPU Network
ICP vs OpenGPU Network Scalability
Real-time TPS
ICP TPS is 1,106 tx/s, while OpenGPU Network has no data
Max TPS (100 blocks)
ICP max TPS is 25,621 tx/s, while OpenGPU Network has no data
Max Theoretical TPS
ICP max theoretical TPS is 209,708 tx/s, while OpenGPU Network has no data
Transaction Volume
ICP transaction volume is 3,982,706 txns, while OpenGPU Network has no data
Block Time
ICP block time is 0.48s, while OpenGPU Network has no data
Finality
ICP finality is 0s, while OpenGPU Network has no data
Type
ICP is a layer 1 blockchain, while OpenGPU Network has no data
Launch Date
ICP was launched on May 10, 2021, while the OpenGPU Network has no data
ICP vs OpenGPU Network Decentralization New
Nakamoto Coefficient
ICP Nakamoto Coefficient is 415, while OpenGPU Network has no data
Validators/Miners
ICP has 1,448 validators, while OpenGPU Network has no data
Stake/Hashrate
ICP stake is $1.181B, while OpenGPU Network has no data
Consensus Mechanism
ICP is Proof of Useful Work, while OpenGPU Network has no data
Governance
ICP governance is on-chain, while OpenGPU Network has no data
Other Comparisons
ICP Comparisons
OpenGPU Network Comparisons
About Blockchains
About ICP
The Internet Computer enables you to build anything without traditional IT and Big Tech. It hosts decentralized serverless compute that’s simpler, immune to cyber attack, unstoppable, and controllable by DAOs. Next-generation smart contracts (named Canisters) that hold both code and state enable truly Decentralized AI. Canisters use Chain Fusion technology to write transctions directly to other chains without centralized bridges, enabling secure multi-chain dapps. Build social, defi, games, e-commerce, enterprise or any kind of application or service on ICP. The internet is evolving.
About OpenGPU Network
OpenGPU is a decentralized computing platform based on blockchain technology. It aims to address the computational demand pressure faced by current centralized cloud computing platforms by utilizing globally distributed GPU computing resources.