Planck Network Launches Mainnet: The First Layer-0 Purpose-Built for AI and DePIN Workloads

On November 13, 2025, the Planck Network officially launched its mainnet and executed its Token Generation Event (TGE), marking the public debut of what the project calls the world’s first Layer-0 protocol designed specifically for AI and decentralized physical infrastructure networks. The PLANCK token immediately began trading on Bitget, with deposits and trading starting at 14:00 UTC. With Bitcoin trading near $99,700 and the broader crypto market capitalization approaching $2 trillion, the launch arrives at a moment when AI-driven blockchain projects are commanding unprecedented attention.

The Agentic Protocol

Planck’s architecture is built around two complementary layers. Planck₀ is a modular Layer-0 protocol that serves as a coordination layer, providing shared security and interoperability for launching AI-native Layer-1 blockchains, rollups, and DePIN networks. Planck₁ is a sovereign Layer-1 compute chain designed specifically for AI workloads, with native features for GPU scheduling, inference, and payments. Together, they form what the team describes as the AI computing stack of tomorrow.

The protocol enables developers to deploy sovereign AI chains that inherit security from the Layer-0, rent GPU computing power at costs the project claims are up to 90% cheaper than centralized providers like AWS, and build applications that require intensive computational resources without relying on any single cloud provider. The network has already attracted over 100,000 users and wallets during its pre-launch phase.

Neural Network Integration

At the core of Planck’s offering is its decentralized GPU infrastructure. The network connects GPU node operators who contribute computing power and earn PLANCK tokens in return. This creates a marketplace where AI developers can access enterprise-grade computing resources—NVIDIA H100s, A100s, and comparable hardware—without the bottlenecks and vendor lock-in associated with traditional cloud providers.

The project includes an AI Studio for development and access to foundational models, providing a complete environment for training, fine-tuning, and deploying machine learning models in a decentralized setting. The neural network integration goes beyond raw compute: the Layer-1 chain handles GPU scheduling, workload distribution, and verification natively, ensuring that computational tasks are completed correctly before payments are released.

Token Utility

The PLANCK token has a fixed total supply of 500 million, with approximately 76.56 million tokens in initial circulation. The token allocation is structured for long-term sustainability: 30% for emissions (vested over up to 240 months), 20% for R&D and ecosystem development, 16.9% for the core team, and 13% for liquidity. The token serves multiple functions within the ecosystem.

Users pay for GPU compute, model training, and cloud services with PLANCK. Staking is available for both GPU operators and token holders without hardware, who can co-stake with node operators. The Layer-0 shared security model requires app-chains to bond PLANCK to inherit security. The treasury also implements a buyback mechanism, using a portion of fiat revenue from services to purchase PLANCK from the open market, creating deflationary pressure on the token supply.

Market analysts have suggested that PLANCK could reach a price range of $0.12 to $0.18 shortly after listing, though the project’s approximately $13.93 million initial market cap and growing DePIN narrative may drive further interest as the ecosystem develops.

Potential Bottlenecks

Despite the ambitious vision, several challenges remain. The project raised a private round of $400,000, which is modest compared to many Layer-0 and Layer-1 competitors. Building a decentralized GPU network that can compete with the reliability and performance of AWS, Google Cloud, or Azure is a significant engineering challenge that requires attracting and retaining a large number of high-quality GPU operators.

The AI compute market is increasingly crowded, with established projects like Akash Network, Render Network, and Bittensor already operating in the decentralized computing space. Planck differentiates itself through its Layer-0 architecture and AI-native design, but will need to demonstrate clear advantages in performance, cost, and developer experience to capture market share. The staggered vesting schedule—particularly the 240-month emission timeline—shows long-term commitment but may also create sustained sell pressure that investors should monitor.

Final Verdict

Planck Network represents an ambitious attempt to build foundational infrastructure for the intersection of AI and blockchain. The Layer-0 plus Layer-1 architecture is technically interesting, and the project’s focus on AI-native design rather than retrofitted general-purpose computing gives it a clear narrative. The successful mainnet launch and immediate exchange listing on Bitget demonstrate execution capability.

However, the project is early. The true test will be whether Planck can attract enough GPU operators to build a competitive compute marketplace, whether developers will choose its AI Studio over alternatives, and whether the token economics support sustainable growth. For those interested in the AI-DePIN thesis, Planck is a project worth watching—but one that carries the typical risks of early-stage infrastructure investments.

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research before making investment decisions.