Building the Future of AI on Blockchain: Planck Network Rolls Out Modular Infrastructure
Planck Network has unveiled what it claims to be the industry’s first modular layer-0 blockchain, specifically engineered for AI-native services and decentralized physical infrastructure networks (DePINs). This groundbreaking protocol is designed to act as the base infrastructure for AI-optimized layer-1s, rollups, and decentralized applications, enabling seamless AI integration directly within Web3 platforms. With this approach, developers can avoid reliance on external compute sources and instead access built-in, decentralized AI functionality at scale.
A robust GPU processing infrastructure, backed by about $40 million in committed or deployed AI gear, is at the heart of Planck Network. This vast computing layer is intended to serve developers and applications across over 30 different blockchain ecosystems, including Ethereum, Near, BNB Chain, and Polkadot. By offering embedded decentralized compute capabilities, the network supports AI workloads ranging from model training and fine-tuning to inference, across various environments.
The Planck Network, according to CEO Diam Hamstra, is a full-stack infrastructure layer that combines flexible blockchain technology, high-performance hardware, and sustainable revenue sources. The aim is to empower developers to create decentralized AI-driven applications without needing to depend on traditional centralized cloud services.
The protocol’s foundational architecture is built to enable interoperability across chains, shared validator infrastructure, and GPU-based compute distribution. It integrates cross-chain messaging technology and stablecoin payment compatibility via USDC, enhancing usability and developer accessibility. Its EVM-compatible layer-1 chain, optimized specifically for AI workloads, provides enterprise-grade GPU access but intentionally limits features such as token launches or the addition of independent layer-2 networks.
Flagship offerings include an AI Cloud, which grants decentralized access to top-tier GPUs like H100, B200, and RTX 4090 at competitive prices, and an AI Studio designed for low-code model deployment, pipeline orchestration, and data management. Payment and job scheduling is streamlined through a GPU console using USDC or the network’s native $PLANCK token.
The platform’s token economy features GPU staking, liquid staking through LPLANCK, delegation mechanisms, and DAO-based governance. Income generated from AI compute jobs is utilized in a buyback strategy to support $PLANCK’s market demand. Backed by major players like DNA Fund, GDA Capital, DePIN X Capital, and Rollman Management, the project has secured $3.5 million in early funding and another $4 million through staking commitments, underscoring strong institutional confidence.
