Planck launches layer-0 blockchain for artificial intelligence

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Planck, an infrastructure protocol concentrating on the artificial intelligence growth, has launched a layer-0 blockchain geared toward supporting decentralized AI networks, the corporate stated Tuesday.

The blockchain is designed to function foundational infrastructure for AI purposes, significantly these constructed for decentralized bodily infrastructure networks (DePINs). These networks mix {hardware}, token incentives and distributed processing to create alternate options to centralized sources, reminiscent of cloud companies.

The transfer aligns with a rising push inside the crypto trade to convey Web3 ideas of decentralization to AI growth, a sector nonetheless dominated by centralized gamers reminiscent of OpenAI and Google.

“Currently, high-performance AI compute is heavily centralized in the hands of a few tech giants,” a spokesperson for Planck told Cointelegraph.

Planck is one of several blockchain projects working on alternative approaches to AI decentralization. Bittensor, for example, focuses on decentralized machine learning, while Fetch.ai facilitates the creation of AI agents through its decentralized platform.

Planck says its blockchain will generate protocol revenue from transaction fees, SDK usage, and developer tooling. Meanwhile, GPU operators providing compute resources will be rewarded with the protocol’s native token based on machine’s uptime (proof-of-connectivity) and actual utilization (proof-of-delivery).

Related: AI advances audit coverage for innovative multi-language virtual machine

GPU rental and AI chip crunch

Most of Planck’s revenue comes from renting out GPUs and compute contracts. The company says its hourly, on-demand model slashes costs by up to 90% compared to traditional cloud services.

Since February, the company generated $1.5 million in revenue, mostly from renting GPU power. The company also competes with other infrastructure providers like Vast.ai, CoreWeave and Lambda, all of which are capitalizing on the ongoing AI chip shortage.

That shortage has fueled explosive growth in the GPU-as-a-service sector. According to Precedence Research, the market hit $4 billion in 2024 and is expected to grow at a 23% annual rate, reaching $32 billion by 2034.

“Centralized AI compute is prohibitively expensive. By decentralizing the GPU network, Planck can offer up to 90% cost savings,” a Planck spokesperson stated.

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This article is tailored from cointelegraph.com. We’ve restructured and rewritten the content material for a broader viewers with improved readability and search engine optimization formatting.

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