Planck Launches Layer-0 Blockchain for Decentralized AI Networks
Planck, an infrastructure protocol targeting the artificial intelligence boom, has announced the launch of a layer-0 blockchain designed to support decentralized AI networks. The blockchain aims to provide foundational infrastructure for AI applications, particularly those built for decentralized physical infrastructure networks (DePINs). These networks combine hardware, token incentives, and distributed processing to offer alternatives to centralized resources like cloud services.
Decentralizing AI Development in the Crypto Industry
The move by Planck aligns with a growing trend within the crypto industry to bring Web3 principles of decentralization to AI development. Despite the sector being dominated by centralized players such as OpenAI and Google, there is a push towards decentralizing AI technologies.
According to a spokesperson for Planck, “Currently, high-performance AI compute is heavily centralized in the hands of a few tech giants.”
Planck is part of a group of blockchain projects working on alternative approaches to AI decentralization. Other projects like Bittensor focus on decentralized machine learning, while Fetch.ai facilitates the creation of AI agents through its decentralized platform.
Revenue Generation and Incentives
Planck’s blockchain is set to generate revenue through transaction fees, SDK usage, and developer tooling. GPU operators providing compute resources will be rewarded with the protocol’s native token based on machine uptime (proof-of-connectivity) and actual utilization (proof-of-delivery).
Addressing the GPU Rental and AI Chip Crunch
Planck derives a significant portion of its revenue from renting out GPUs and compute contracts. The company’s hourly, on-demand model is said to reduce costs by up to 90% compared to traditional cloud services.
Since February, Planck has generated $1.5 million in revenue, primarily from renting GPU power. The company competes with other infrastructure providers like Vast.ai, CoreWeave, and Lambda, all of which are capitalizing on the ongoing AI chip shortage.
The shortage of AI chips has led to rapid growth in the GPU-as-a-service sector. According to Precedence Research, the market reached $4 billion in 2024 and is projected to grow at a 23% annual rate, reaching $32 billion by 2034.
By decentralizing the GPU network, Planck aims to offer up to 90% cost savings compared to centralized AI compute services.
With its innovative approach to decentralized AI networks and revenue generation model, Planck is paving the way for a more accessible and cost-effective AI infrastructure landscape.