Planck launches layer-0 blockchain for artificial intelligence
Planck, an infrastructure protocol concentrating on the bogus intelligence increase, has launched a layer-0 blockchain aimed toward supporting decentralized AI networks, the corporate stated Tuesday.
The blockchain is designed to function foundational infrastructure for AI functions, significantly these constructed for decentralized bodily infrastructure networks (DePINs). These networks mix {hardware}, token incentives and distributed processing to create options to centralized sources, equivalent to cloud companies.
The transfer aligns with a rising push throughout the crypto business to carry Web3 rules of decentralization to AI improvement, a sector nonetheless dominated by centralized gamers equivalent to OpenAI and Google.
“Presently, high-performance AI compute is closely centralized within the arms of some tech giants,” a spokesperson for Planck instructed Cointelegraph.
Planck is one among a number of blockchain tasks engaged on different approaches to AI decentralization. Bittensor, for instance, focuses on decentralized machine studying, whereas Fetch.ai facilitates the creation of AI brokers by its decentralized platform.
Planck says its blockchain will generate protocol income from transaction charges, SDK utilization, and developer tooling. In the meantime, GPU operators offering compute sources will probably be rewarded with the protocol’s native token based mostly on machine’s uptime (proof-of-connectivity) and precise utilization (proof-of-delivery).
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GPU rental and AI chip crunch
Most of Planck’s income comes from renting out GPUs and compute contracts. The corporate says its hourly, on-demand mannequin slashes prices by as much as 90% in comparison with conventional cloud companies.
Since February, the corporate generated $1.5 million in income, principally from renting GPU energy. The corporate additionally competes with different infrastructure suppliers like Huge.ai, CoreWeave and Lambda, all of that are capitalizing on the continued AI chip scarcity.
That scarcity has fueled explosive development within the GPU-as-a-service sector. In response to Priority Analysis, the market hit $4 billion in 2024 and is anticipated to develop at a 23% annual price, reaching $32 billion by 2034.
“Centralized AI compute is prohibitively costly. By decentralizing the GPU community, Planck can provide as much as 90% value financial savings,” a Planck spokesperson stated.
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