Groundbreaking Infrastructure for AI Development

Planck has launched a revolutionary layer-0 blockchain specifically designed to support decentralized artificial intelligence networks. The protocol leverages a global network of processing units valued at 【$230 million】, offering a foundational infrastructure for AI applications. This move comes as the crypto industry increasingly seeks to apply Web3 principles to AI development, challenging the dominance of centralized tech giants like OpenAI and Google.

Addressing Centralization in AI Compute

"High-performance AI compute remains heavily concentrated among a handful of corporations," a Planck spokesperson revealed. The new blockchain targets decentralized physical infrastructure networks (DePINs), which combine hardware, token incentives, and distributed processing to create alternatives to traditional cloud services. Interestingly, this approach aligns with growing concerns about AI centralization and its potential risks.

Competitive Landscape and Revenue Model

Planck enters a crowded field of blockchain projects tackling AI decentralization, including Bittensor's machine learning platform and Fetch.ai's agent-based solutions. The protocol generates revenue through transaction fees, SDK usage, and developer tools, while rewarding GPU operators with native tokens based on uptime and utilization metrics. Remarkably, the company has already generated 【$1.5 million】 since February primarily through GPU rentals.

Cost Advantages in AI Compute Market

The company claims its on-demand GPU rental model offers up to 【90% cost savings】 compared to traditional cloud providers. This positions Planck against established players like Vast.ai and CoreWeave in the booming GPU-as-a-service market, which Precedence Research estimates will grow from $4 billion in 2024 to $32 billion by 2034. ——The AI chip shortage has created unprecedented demand for decentralized alternatives——, the spokesperson noted.

Technical Innovation and Future Outlook

Planck's layer-0 solution introduces novel consensus mechanisms including proof-of-connectivity and proof-of-delivery to verify GPU performance. The protocol represents one of the most ambitious attempts yet to decentralize AI infrastructure, though questions remain about scaling such networks to compete with established cloud providers. As of press time, the project has attracted significant attention from both crypto and AI communities.