Planck Launches Blockchain Infrastructure for Decentralized AI Networks

Planck, an infrastructure protocol focused on supporting AI development during the current boom, announced today the launch of a Layer-0 blockchain designed to underpin decentralized AI applications.

This foundational technology is specifically aimed at enabling decentralized physical infrastructure networks (DePINs), which integrate hardware, token-based incentives, and distributed computational resources to function as alternatives to centralized services like cloud platforms.

The initiative reflects a larger movement within the cryptocurrency sector seeking to incorporate Web3 decentralization principles into AI development, addressing the centralization currently wielded by major players such as OpenAI and Google.

“Currently, high-performance AI compute is concentrated heavily in the hands of a few tech giants,” stated a Planck spokesperson.

Planck positions itself as one among several blockchain initiatives exploring decentralized AI. Projects like Bittensor focus on decentralized machine learning, while Fetch.ai aims to build a platform for creating autonomous AI agents.

Regarding revenue generation, Planck explains that income will stem from transaction fees, SDK usage, and developer tooling on its blockchain. Furthermore, GPU providers supplying compute resources will receive rewards in the protocol’s native token based on criteria including machine uptime (proof-of-connectivity) and actual utilization (proof-of-delivery).

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GPU Rental and the AI Chip Shortage

GPU rentals constitute a primary revenue stream for Planck. The company highlights its on-demand, hourly model, claiming potential cost savings of up to 90% relative to conventional cloud services.

According to Planck, since February, revenue reached $1.5 million, predominantly generated through GPU rental services. This aligns Planck with competitors Vast.ai, CoreWeave, and Lambda, all capitalizing on the ongoing AI chip shortage.

The persistent shortage has catalyzed significant growth in the GPU-as-a-service industry. Precedence Research reports the market reached $4 billion in 2024, with projections indicating a 23% annual growth rate, targeting $32 billion by 2034.

“Centralized AI compute constitutes a prohibitively expensive option. Planck aims to revolutionize this by decentralizing the GPU network, offering up to 90% cost savings,” a spokesperson noted.

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