Planck Network has launched what it describes as an industry-first modular layer‑0 blockchain designed specifically for AI-native services and decentralized physical infrastructure networks (DePINs). The protocol is intended to serve as the foundational infrastructure for AI-optimized layer‑1s, rollups, and decentralized services, allowing Web3 developers to integrate AI functionality directly without separately interfacing with external compute resources. $PLANCK Token: Functions as the native currency within the ecosystem. GPU Staking: Operators stake $PLANCK to manage uptime commitments and access workloads. Liquid Staking (LPLANCK): Users receive a rebasing token, earning rewards and additional protocol utilities. Delegation: LPLANCK holders may delegate to GPU pools, sharing protocol emissions and revenue. Governance Participation: LPLANCK holders participate in DAO decisions regarding token emissions, staking incentives, and ecosystem strategy. Buyback Mechanism: Income from GPU job execution (paid in USDC) is used to purchase $PLANCK tokens, reinforcing potential demand in the staking economy. Notable Developments and Platform Architecture: Modular Layer‑0 Base Layer: Planck Network’s core architecture offers shared validator infrastructure, interoperable GPU compute, and cross-chain messaging via the Planck Network Tunnel (powered by VIA Labs). It supports over 30 blockchain networks and integrates USDC payment rails for stablecoin interoperability. AI‑Optimized Layer‑1 Chain: An EVM-compatible layer‑1 chain (branded as Planck Network) is tailored for AI workloads—such as model training, inference, and fine-tuning—operating on enterprise-grade GPU nodes. This layer reportedly does not support independent token launches or additional layer‑2 rollups. Flagship Products: AI Cloud: Offers decentralized access to GPUs like H100, A100, B200, H200, RTX 4090, with service-level agreements and bare-metal compute. Pricing is reportedly up to 90% lower than conventional cloud providers, with users able to schedule AI jobs via a GPU Console using USDC or $PLANCK. AI Studio: Features a low-code platform for model deployment and pipeline automation—supporting open-source or proprietary models, on‑chain fine‑tuning and inference, dataset management, and custom orchestration modules.