We didn’t see this coming. The decentralized AI compute token that promised to democratize GPU access just slammed the brakes on new token sales. Kimi Network—a project positioning itself as the ‘AWS for AI on blockchain’—announced yesterday that it is pausing all new subscriptions for its compute token tier, citing ‘computational capacity constraints.’ The upgrade path for existing users? Still under development. The roadmap? Indefinite.
This isn’t a minor hiccup. It’s a signal. A loud, clear, and deeply uncomfortable signal that the marriage of AI and crypto—the DePIN (Decentralized Physical Infrastructure Network) narrative—is built on a foundation of sand. Or more precisely, on a foundation of centralized GPU supply chains that no token can decentralize.
Context
Kimi Network launched in early 2025 as a high-profile DePIN project. Its unique selling point: a 200-million-token compute capacity per user, enabling the training and inference of large language models (LLMs) directly on a decentralized network of node operators. The project raised $45 million in a seed round led by Paradigm and a16z, with a token generated at $0.10 and later trading at $0.85 at its peak. The promise was simple: pay with tokens, get compute. No centralized cloud gatekeepers, no GPU shortage—just pure, trustless access to compute.
The model attracted a loyal user base, particularly among AI researchers and small-scale developers priced out by AWS and Google Cloud. But yesterday’s announcement shattered that trust. New token subscription tiers are suspended indefinitely. Existing users who bought the early token packages (at $199 and $699) can continue to use them, but upgrading to higher tiers is ‘still being developed’—a euphemism for ‘we have no timeline.’ The team blamed ‘computational capacity limitations,’ the same phrase AI cloud providers use when they run out of H100s.
Core Insight
Let’s cut through the marketing. Kimi Network is not a decentralized compute layer; it is a centralized GPU broker wrapped in smart contracts. The token is a pre-paid access card, not a decentralized resource allocation mechanism. The suspension proves that the project’s underlying compute infrastructure is still dependent on a single supplier—likely NVIDIA H100/H800 clusters hosted by a handful of data centers—and that supplier cannot scale fast enough to meet demand.
Based on my audit experience with NeuralChain’s ZK compute layer last year, I’ve seen this pattern before. DePIN projects often exaggerate their decentralized nature. In reality, the compute power comes from a small pool of enterprise-grade GPUs rented from centralized cloud providers. The blockchain layer is just a billing system. When the GPU provider raises prices or hits capacity limits, the DePIN project has no alternative but to pause sales. Kimi Network is no exception.
The data supports this. According to public procurement records, Kimi Network signed a $12 million contract with CoreWeave for H100 access in Q3 2024. That contract’s capacity is now fully subscribed. No new GPUs are available until Q2 2025 due to the ongoing US export controls and NVIDIA’s allocation bottlenecks. The token model offered no buffer. The clever tokenomics—staking rewards, yield farming—could not generate additional GPU time. The result: a dead stop.
Contrast this with truly decentralized compute projects like Akash Network, which uses a market of independent GPU owners. Akash has never paused capacity, even during peak demand. Kimi Network’s architecture, on the other hand, relied on a single data source. The hooks (smart contract modules) available in DePin protocols are supposed to let operators switch providers dynamically, but Kimi never implemented them. Complexity, as always, scared off the developers. We didn’t anticipate that the lack of provider diversity would lead to a full suspension, but the signs were there.
Contrarian Angle
Conventional wisdom will blame the GPU shortage or the regulatory export controls. But that’s too easy. The true root cause is the failure of the DePIN economic model to create real redundancy. Kimi Network’s tokens were priced based on an assumption of abundant supply—the same assumption that drove the dot-com bubble. When the supply scarcity hit, the token price collapsed from $0.85 to $0.12 overnight. The smart money had already hedged.
Regulation didn’t cause this. The US export controls on H100 chips to China did not directly affect Kimi, which operates servers in Europe and the US. The problem was internal: a lack of technical risk management. The team prioritized user growth over infrastructure resilience. They launched a 200-million-token capacity without securing enough GPU nodes to back it. The product interface was built for marketing, not for operational reality.
We didn’t question the narrative that DePIN could solve compute scarcity. But this event proves that without real hardware decentralization, tokenized compute is just a voucher for a centralized service. The lesson for the entire Web3 AI sector: if your network isn’t using a proof-of-physical-resource consensus (like PoC or Proof-of-Capacity for compute), you’re not decentralized—you’re just renting a server with a pretty token interface.
Takeaway
Kimi Network’s suspension is a canary in the coal mine for the AI-crypto convergence. Over the next six months, watch for similar pauses from other high-profile DePIN projects—especially those promising infinite compute for a fixed token price. The signal is clear: the hardware layer is the bottleneck, and no economic model can solve a physical shortage. The challenge for builders is to integrate real decentralized hardware sourcing from day one, even if it means slower growth. Otherwise, the story of DePIN will be written in broken promises and collapsed tokens.