L1 AI Chain

Planck Chain is a purpose-built Layer-1 blockchain designed for AI computing enabling the permissionless onboarding of retail and enterprise-grade GPUs, significantly enhancing the scalability of Planck’s AI computing stack.

---

Permissionless GPU Onboarding:

• Planck Chain allows anyone to connect their GPUs to the network without requiring centralized approval.

• This democratizes access to AI compute, enabling a vast pool of resources to power AI workloads.

  • Example: A gamer with a high-end GPU can easily connect their hardware to the Planck network and earn rewards by contributing to AI processing.

EVM Compatibility:

• Planck Chain is Ethereum Virtual Machine (EVM) compatible, allowing developers to easily deploy and run existing Ethereum smart contracts.

• This enables seamless integration with the existing DeFi ecosystem and facilitates the development of cross-chain applications.

  • Example: Developers can port their existing Solidity smart contracts to Planck Chain without significant modifications.

Proof-of-Stake (PoS) Consensus:

• Planck Chain utilizes a Proof-of-Stake consensus mechanism, providing a secure and energy-efficient way to validate transactions.

• Token holders can stake their $PLANCK tokens to participate in network validation and earn rewards.

  • Benefits:

    • Energy-efficient: Reduces the environmental impact compared to Proof-of-Work.

      • Secure: Prevents malicious actors from controlling the network.

      • Decentralized: Distributes network control among token holders.

Proof-of-Connectivity (PoC) Rewards:

• GPU operators earn $PLANCK rewards when their GPUs are connected on the network.

• PoC incentivizes users to contribute their compute resources, ensuring a steady supply of processing power.

  • Example: GPU operators receive rewards for keeping their GPUs available on the network.

Proof-of-Delivery (PoD) Rewards:

• GPU operators earn $PLANCK rewards when their GPUs are actively being utilized for processing and storage.

• PoD incentivizes the use of GPU resources for AI and/or other compute operations.

• Example: GPU operators receive rewards for storing and processing large datasets used in AI training and inference.

*Planck Chain v2 (Q3 2025

• Planck Chain v2 is undergoing a complete rewrite in Rust, a high-performance programming language.

• This rewrite will significantly improve scalability, performance, and security, paving the way for a more robust and efficient AI computing platform.

• This upgrade will ensure that Planck Chain can handle the growing demands of the AI industry.