Base vs OpenGPU Network Scalability
Real-time TPS
Base TPS is 108.3 tx/s, while OpenGPU Network has no data
Max TPS (100 blocks)
Base max TPS is 1,267 tx/s, while OpenGPU Network has no data
Max Theoretical TPS
Base max theoretical TPS is 3,571 tx/s, while OpenGPU Network has no data
Transaction Volume
Base transaction volume is 390,051 txns, while OpenGPU Network has no data
Block Time
Base block time is 2s, while OpenGPU Network has no data
Finality
Base finality is 13m 13s, while OpenGPU Network has no data
Type
Base is a layer 2 blockchain, while OpenGPU Network has no data
Launch Date
Base was launched on Aug 9, 2023, while the OpenGPU Network has no data
Base vs OpenGPU Network Decentralization New
Nakamoto Coefficient
Base Nakamoto Coefficient is 1, while OpenGPU Network has no data
Validators/Miners
Base has 1 validators, while OpenGPU Network has no data
Stake/Hashrate
Base and OpenGPU Network have no data
Consensus Mechanism
Base is Rollup (Optimistic), while OpenGPU Network has no data
Governance
Base governance is off-chain, while OpenGPU Network has no data
Other Comparisons
Base Comparisons
OpenGPU Network Comparisons
About Blockchains
About Base
Base, an Ethereum-based blockchain developed by Coinbase, operates as a Layer 2 (L2) network, leveraging Optimism to provide a secure, cost-effective, and user-friendly environment for decentralized application (dApp) development. With a mission to onboard the next billion users to web3, Base ensures near-zero fees, quick transactions, and robust security supported by Ethereum's infrastructure. At its launch, Base had over 100 dApps and service providers, aiming to solve the blockchain trilemma by prioritizing interoperability and composability among participating rollups. This approach enhances scalability while preserving security and decentralization.
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.