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What is Cortex Blockchain?
Cortex Blockchain revolutionizes the blockchain landscape by addressing the crucial challenge of on-chain AI execution, which has previously limited platforms like Bitcoin and Ethereum. Through its innovative Cortex Virtual Machine (CVM), the platform enables efficient machine learning inference directly on the blockchain, utilizing GPU processing power instead of traditional CPU execution.
The platform introduces ZkMatrix, a Layer2 ZkRollup solution that significantly enhances transaction processing speed and reduces fees. With its deterministic inference engine Synapse and support for Solidity programming, Cortex creates an ecosystem where AI researchers and developers can share models and create AI-enhanced DApps while maintaining true decentralization.
Features
- CVM (Cortex Virtual Machine): EVM-compatible system with GPU-powered AI inference support
- Synapse AI Inference Engine: Deterministic inference across heterogenetic computing environments
- AI Smart Contracts: Solidity-based contracts with machine learning support
- ZkMatrix Layer2: ZkRollup solution for enhanced scalability
- Decentralized AI Model Storage: Incentivized ecosystem for AI model sharing
Use Cases
- On-chain AI model execution
- AI-enhanced DApp development
- Decentralized machine learning operations
- Scalable blockchain transactions
- AI research collaboration
FAQs
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How does Cortex differ from traditional blockchains?
Cortex uniquely enables on-chain machine learning model execution using GPU instead of CPU, allowing for efficient and deterministic AI inference directly on the blockchain, unlike traditional platforms like Bitcoin and Ethereum. -
What is ZkMatrix?
ZkMatrix is Cortex's Layer2 ZkRollup solution that aggregates batch transitions on the side chain into one transaction on the main chain, improving transaction speed and reducing fees. -
What programming language does Cortex use for smart contracts?
Cortex uses Solidity as its smart contract programming language to reduce friction and maintain compatibility with existing blockchain development practices.
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