Leçon 4

Cartesi's use case

This module will explore Cartesi's use cases in multiple fields.

Cartesi is being used in several innovative projects, particularly in the areas of gaming, decentralized finance (DeFi), and real-world applications. Here are some notable use cases:

Game

DOOM (Doom) on the blockchain*

Using its virtual machine and optimistic Rollup technology, Cartesi successfully ported the classic game 'Doom' to the blockchain. This project demonstrates Cartesi's ability to manage high computational demands of real-time games off-chain, while securely anchoring game data on-chain.

This achievement is significant because it provides the possibility of verifiable results for decentralized gaming tournaments, which is difficult to achieve with traditional blockchains due to limited processing power. Cartesi's approach opens up a path for a new generation of blockchain games, allowing complex game mechanics and high-risk environments to perfectly combine with the transparency and security of decentralized systems.

Ultrachess

This is an on-chain chess game built on Cartesi Rollups. It supports player vs. machine and AI gameplay, with game logic executed off-chain using Python. The architecture of this game highlights the potential of Cartesi in handling compute-intensive tasks, while providing verifiable results secured by the blockchain.

DeFi and complex decentralized applications

Descartes SDK
This SDK is used for off-chain computing on Ethereum, allowing developers to build complex DeFi applications that require more computing power than what is available on-chain. This expands the types of financial products and services that can be offered in a decentralized manner, such as applications involving large-scale data analysis or algorithmic trading.

Real-world Applications

Real-World Asset Verification:Cartesi has been used in prototypes for real-world asset validation, such as carbon asset tracking. These projects leverage Cartesi's ability to perform complex computations off-chain while ensuring the secure anchoring of results on-chain, making it suitable for use cases requiring high trust and transparency.

essentials

  • Doom on the blockchain: Cartesi successfully ported the classic game 'Doom' to the blockchain, demonstrating its ability to manage real-time state changes off-chain and anchor data on-chain, achieving a decentralized and verifiable gaming experience.
  • Ultrachess: This is a blockchain-based chess game whose logic is executed off-chain in Python. The game showcases the potential of Cartesi to handle complex computational tasks while ensuring that the results are safe and secure on the blockchain.
  • Descartes SDK for DeFi: This SDK for Ethereum off-chain computing enables developers to create advanced DeFi applications that require a lot of computing power, such as algorithmic trading and large-scale data analytics.
  • Real-World Asset (RWA) Verification: Cartesi has been applied to prototype projects such as carbon asset tracking, ensuring that complex calculations are performed off-chain and the results are securely anchored on-chain, making it suitable for scenarios that require a high level of trust and transparency.
Clause de non-responsabilité
* Les investissements en cryptomonnaies comportent des risques importants. Veuillez faire preuve de prudence. Le cours n'est pas destiné à fournir des conseils en investissement.
* Ce cours a été créé par l'auteur qui a rejoint Gate Learn. Toute opinion partagée par l'auteur ne représente pas Gate Learn.
Catalogue
Leçon 4

Cartesi's use case

This module will explore Cartesi's use cases in multiple fields.

Cartesi is being used in several innovative projects, particularly in the areas of gaming, decentralized finance (DeFi), and real-world applications. Here are some notable use cases:

Game

DOOM (Doom) on the blockchain*

Using its virtual machine and optimistic Rollup technology, Cartesi successfully ported the classic game 'Doom' to the blockchain. This project demonstrates Cartesi's ability to manage high computational demands of real-time games off-chain, while securely anchoring game data on-chain.

This achievement is significant because it provides the possibility of verifiable results for decentralized gaming tournaments, which is difficult to achieve with traditional blockchains due to limited processing power. Cartesi's approach opens up a path for a new generation of blockchain games, allowing complex game mechanics and high-risk environments to perfectly combine with the transparency and security of decentralized systems.

Ultrachess

This is an on-chain chess game built on Cartesi Rollups. It supports player vs. machine and AI gameplay, with game logic executed off-chain using Python. The architecture of this game highlights the potential of Cartesi in handling compute-intensive tasks, while providing verifiable results secured by the blockchain.

DeFi and complex decentralized applications

Descartes SDK
This SDK is used for off-chain computing on Ethereum, allowing developers to build complex DeFi applications that require more computing power than what is available on-chain. This expands the types of financial products and services that can be offered in a decentralized manner, such as applications involving large-scale data analysis or algorithmic trading.

Real-world Applications

Real-World Asset Verification:Cartesi has been used in prototypes for real-world asset validation, such as carbon asset tracking. These projects leverage Cartesi's ability to perform complex computations off-chain while ensuring the secure anchoring of results on-chain, making it suitable for use cases requiring high trust and transparency.

essentials

  • Doom on the blockchain: Cartesi successfully ported the classic game 'Doom' to the blockchain, demonstrating its ability to manage real-time state changes off-chain and anchor data on-chain, achieving a decentralized and verifiable gaming experience.
  • Ultrachess: This is a blockchain-based chess game whose logic is executed off-chain in Python. The game showcases the potential of Cartesi to handle complex computational tasks while ensuring that the results are safe and secure on the blockchain.
  • Descartes SDK for DeFi: This SDK for Ethereum off-chain computing enables developers to create advanced DeFi applications that require a lot of computing power, such as algorithmic trading and large-scale data analytics.
  • Real-World Asset (RWA) Verification: Cartesi has been applied to prototype projects such as carbon asset tracking, ensuring that complex calculations are performed off-chain and the results are securely anchored on-chain, making it suitable for scenarios that require a high level of trust and transparency.
Clause de non-responsabilité
* Les investissements en cryptomonnaies comportent des risques importants. Veuillez faire preuve de prudence. Le cours n'est pas destiné à fournir des conseils en investissement.
* Ce cours a été créé par l'auteur qui a rejoint Gate Learn. Toute opinion partagée par l'auteur ne représente pas Gate Learn.