io.net has taken the top position in a recent ranking of revenue-generating DePIN projects on Solana, with $9.4 million attributed to the decentralized GPU network over a 30-day period. In an official io.net post, the project highlighted data from Solana Daily placing it ahead of GEODNET at $8 million and Dabba Network at $7.5 million. The ranking points to substantial economic activity around io.net’s compute marketplace, although the figure represents tracked network revenue rather than audited corporate revenue.
io.net attributes the performance to customers paying for GPU workloads across its distributed infrastructure. The network aggregates computing capacity from independent suppliers and makes it available for AI training, inference and other GPU-intensive applications. The economic thesis is that revenue should increasingly reflect actual compute consumption rather than token incentives used simply to attract hardware providers.
#1 in Solana DePIN revenue.
That's what happens when you build a network for real GPU demand, real revenue, and real workloads. https://t.co/t66BTxx8EC
— io.net (@ionet) September 1, 2026
GPU Demand Becomes the Core Revenue Driver
The underlying market is highly competitive because centralized cloud companies already provide mature GPU infrastructure. Amazon Web Services recommends GPU instances for most deep-learning workloads and offers multi-GPU systems for both inference and distributed model training. io.net is competing against that hyperscale cloud model by aggregating geographically distributed GPU capacity and selling it through a decentralized marketplace.
The project has also expanded the workloads available through its infrastructure. OpenRouter currently lists io.net as an inference provider for models including GLM-5.3-Flash, GLM-5.3 and Qwen3.8 27B. Those integrations provide observable examples of customer-facing AI inference running through io.net rather than leaving its compute network purely as available but unused hardware capacity.
Revenue growth predates the latest ranking. In October 2025, io.net reported more than $20 million in annualized on-chain revenue. That figure represented a run-rate calculation at the time, not $20 million collected during a single month or quarter. The latest $9.4 million 30-day figure suggests network activity has increased considerably since that earlier milestone, assuming the two measurements use comparable revenue methodology.
IO Token Burns Track Network Economics
io.net has also redesigned its token economics around its Incentive Dynamic Engine, or IDE. The official io.net tokenomics framework says GPU suppliers receive USD-targeted compensation while token issuance adjusts dynamically according to network conditions. After provider payouts, at least 50% of remaining revenue can be directed toward permanent IO token burns. The mechanism attempts to connect token supply more closely with paid network usage instead of relying on a fixed emissions schedule independent of demand.
That model does not mean every dollar of revenue automatically removes IO from circulation. Supplier compensation comes first, and the amount available for burns depends on the balance between customer payments, provider costs and token-market conditions. Higher compute revenue can strengthen the burn mechanism, but the resulting supply reduction depends on the IDE’s actual surplus rather than gross revenue alone.
The $9.4 million ranking is therefore more useful as a measure of network utilization than as a standalone token-price signal. Sustaining io.net’s DePIN lead will depend on recurring paid GPU workloads, supplier availability and its ability to compete on performance and cost with centralized cloud providers, not simply on maintaining the highest revenue figure for one 30-day window.
Natalie Pierce tracks the parts of crypto that move fast and rarely wait for everyone to catch up. From South Africa, she covers DeFi, AI crypto, hacks, airdrops, sentiment and emerging narratives, especially when user behavior and protocol risk start to overlap.
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