- Compare
- OpenGPU Network vs Algorand
OpenGPU Network vs Algorand Scalability
Real-time TPS
OpenGPU Network has no data, while Algorand TPS is 4.67 tx/s
Max TPS (100 blocks)
OpenGPU Network has no data, while Algorand max TPS is 5,716 tx/s
Max Theoretical TPS
OpenGPU Network has no data, while Algorand max theoretical TPS is 9,384 tx/s
Transaction Volume
OpenGPU Network has no data, while Algorand transaction volume is 16,812 txns
Block Time
OpenGPU Network has no data, while Algorand block time is 2.78s
Finality
OpenGPU Network has no data, while Algorand finality is 0s
Type
OpenGPU Network has no data, while Algorand is a layer 1 blockchain
Launch Date
OpenGPU Network has no data, while Algorand was launched on Jun 12, 2019
OpenGPU Network vs Algorand Decentralization New
Nakamoto Coefficient
OpenGPU Network has no data, while Algorand Nakamoto Coefficient is 12
Validators/Miners
OpenGPU Network has no data, while Algorand has 1,903 validators
Stake/Hashrate
OpenGPU Network has no data, while Algorand stake is $481.1M
Consensus Mechanism
OpenGPU Network has no data, while Algorand is Pure Proof of Stake
Governance
OpenGPU Network has no data, while Algorand governance is on-chain
Other Comparisons
OpenGPU Network Comparisons
About Blockchains
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.
About Algorand
Algorand emerges as a blockchain platform committed to fostering transparency and enabling the growth of decentralized projects and applications. Operating as a public, decentralized blockchain, it leverages a Pure Proof-of-Stake (PPoS) consensus mechanism to uphold network security, efficiency, and decentralization. Powered by the Algorand Consensus Algorithm, the network employs a combination of cryptographic techniques and random selection to attain consensus, effectively addressing the constraints of traditional consensus mechanisms.