BNB Greenfield vs OpenGPU Network Scalability
Real-time TPS
BNB Greenfield TPS is 0.33 tx/s, while OpenGPU Network has no data
Max TPS (100 blocks)
BNB Greenfield max TPS is 44.96 tx/s, while OpenGPU Network has no data
Max Theoretical TPS
BNB Greenfield max theoretical TPS is 500 tx/s, while OpenGPU Network has no data
Transaction Volume
BNB Greenfield transaction volume is 1,200 txns, while OpenGPU Network has no data
Block Time
BNB Greenfield block time is 2.51s, while OpenGPU Network has no data
Finality
BNB Greenfield finality is 0s, while OpenGPU Network has no data
Type
BNB Greenfield is a layer 1 blockchain, while OpenGPU Network has no data
Launch Date
BNB Greenfield was launched on Oct 17, 2023, while the OpenGPU Network has no data
BNB Greenfield vs OpenGPU Network Decentralization New
Nakamoto Coefficient
BNB Greenfield Nakamoto Coefficient is 4, while OpenGPU Network has no data
Validators/Miners
BNB Greenfield has 11 validators, while OpenGPU Network has no data
Stake/Hashrate
BNB Greenfield stake is $9.21M, while OpenGPU Network has no data
Consensus Mechanism
BNB Greenfield is PoS, while OpenGPU Network has no data
Governance
BNB Greenfield governance is on-chain, while OpenGPU Network has no data
Other Comparisons
BNB Greenfield Comparisons
OpenGPU Network Comparisons
About Blockchains
About BNB Greenfield
Positioned as the third blockchain within the BNB Chain ecosystem BNB Greenfield utilizes BNB as its native token. In essence, BNB Greenfield aims to offer decentralized storage infrastructure within the expansive BNB Chain ecosystem. This empowers users and dApps to generate, store, and exchange data while retaining full ownership. The potential outcome is the emergence of a new data-centric economy, enabling all participants within the BNB Chain ecosystem to possess, utilize, and monetize data.
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.