Artificial intelligence is running into a structural bottleneck. With compute demand projected to grow tenfold by 2030, GPU supply remains concentrated in hyperscaler data centers, pushing prices up and locking out emerging players.
Decentralized Physical Infrastructure Networks (DePIN) break open this constraint. By harnessing idle global resources, they deliver enterprise-grade GPU compute, storage, and data services at a fraction of traditional costs. These networks scale without centralized gatekeepers, creating an open foundation for AI innovation below.
In the sections that follow, you’ll find 8 DePIN projects each filling a different layer of the AI stack — compute, storage, media processing and real-world datasets.
Render Network (RENDER) – The GPU Rendering Pioneer
Render started as the leading decentralized GPU rendering network powering tools like OctaneRender, Redshift, and Blender Cycles. As generative AI demand surged, it began expanding into general-purpose compute. At RenderCon 2025, 17 sessions highlighted this shift, and the RNP-019 proposal formally introduced AI-focused compute nodes into its governance framework.
Partnerships with Manifest Network and others reinforce Render’s growing enterprise relevance. Moving into 2026, Render is scaling AI and ML compute deployments alongside governance and workload-optimization upgrades — positioning it as a core layer for creative and enterprise AI infrastructure.
AI Impact
Render bridges creative industries with AI infrastructure. A new job launcher and neural tools are in development to let users run generative-AI and inference workloads directly on the network. The upcoming Compute Network expansion, targeted for late 2025, will extend these capabilities across broader AI and ML workloads — opening fresh opportunities for research and production-grade AI.
Fluence Network (FLT) – The Decentralized Compute for AI
Fluence has launched GPU cloud offerings for AI workloads on its Cloudless marketplace, with transparent daily billing up to 85% cheaper than major clouds. Fluence currently lists H200 GPU VMs from $2.56 per hour, compared to roughly $6–12 per hour on major hyperscalers such as Azure and AWS. Containers, VMs and bare metal are available, alongside on-demand, spot, and API-based deployments.
Compute runs on GDPR-, ISO 27001-, and SOC 2-certified facilities, ensuring consistent, enterprise-grade performance at a fraction of hyperscaler prices. Fluence’s CPU marketplace has reached $1 million annual recurring revenue (ARR) and delivered $3.9 million in user savings to date, underscoring its cost-efficiency.
AI impact
By combining cost-efficient containerized GPU compute with enterprise compliance, Fluence offers a practical solution for AI teams looking for high performance, cost-efficient deployment options.
io.net (IO) – The AI-Native Network
io.net is built for ML from the ground up, offering decentralized GPU clusters at a fraction of hyperscaler cost. The project has seen a 445% GPU growth since 2024 and introduced Total Network Earnings (TNE) to transparently track on-chain revenue; by Oct 2025 it reported more than $20M annualized. Integrations such as Gaia (agent inferencing) and Injective (DeFAI compute) deepen real-world usage. In Q1 2025, the network averaged 6,720 verified GPUs.
AI impact
Ecosystem integrations make it easier to run inference and ML jobs on decentralized GPUs, reinforcing io.net’s role as an AI-native DePIN.
Aethir (ATH) – Enterprise-Grade GPU Cloud
Aethir delivers decentralized, enterprise-grade GPU compute for AI and gaming. The ATH token holds a $191 million market cap, with over 100 ecosystem partners and a Coinbase listing in March 2025 boosting adoption. In Q3, Aethir reached a record high of $39.8 million in revenue. Case studies show up to 86% cost savings compared with centralized clouds.
A Q4 2025 mainnet upgrade will expand L1/L2 compatibility and strengthen security. Through partnerships such as iExec for confidential AI and initiatives in AI-driven game localization, Aethir is scaling performance while maintaining enterprise trust.
AI impact
By combining lower costs, enterprise integrations, and confidential-compute capabilities, Aethir positions itself as a credible decentralized alternative to hyperscaler GPU clouds.
Filecoin (FIL) – The AI Data Backbone
Filecoin powers the world’s largest decentralized storage network, ensuring that AI datasets and model checkpoints stay permanent, verifiable, and globally accessible. Its proven reliability and enterprise adoption make it a key layer in the data backbone supporting large-scale AI applications.
Its durability and scale align with the permanence and reproducibility demands of AI. Looking ahead, Filecoin’s roadmap emphasizes deeper integration into AI ecosystems and expanded storage-driven incentives, reinforcing its position as a cornerstone of decentralized AI infrastructure.
AI Impact
Filecoin serves as the backbone for AI datasets, enabling model versioning, backup, and distributed training data lakes. Its role in ensuring permanence and auditability makes it critical for reproducible AI research.
Gensyn: AI The Trustless Protocol for Machine Intelligence
Gensyn is building an Ethereum rollup that verifies machine learning workloads directly on chain. Verde powers this process by checking every training task so GPU operators can prove their work and get paid without a central coordinator. The team has raised more than $50 million from investors such as a16z and Eden Block. Its public testnet shows real traction, with more than 1.98 million models trained, 92.7 million transactions, 162,935 users, and 21,207 nodes connected, which helped validate demand for decentralized compute at scale.
Gensyn will open the AI token sale from December 15th to December 20th, offering 300 million tokens in an English auction with a valuation range from $1M to $1B.
AI Impact
Gensyn expands usable compute by turning untrusted hardware into verified training power, lowering costs and giving builders a practical path to scale open models without relying on closed cloud infrastructure. Delphi strengthens this by turning benchmark evaluations into a live on chain performance signal, letting teams compare models, route incentives, and power applications that depend on transparent intelligence data.
Livepeer (LPT) – Streaming AI Infrastructure
Livepeer provides decentralized streaming infrastructure and has become a leader in AI-powered video transcoding and processing. In Q2 2025, the protocol crossed the 50% active staking participation threshold (50.1%), a milestone that reduced LPT inflation and reflected growing network security. The AI Subnet generated $147,100 in fees in Q3, up by 131% increase from $63,700 in Q2. Transcoding fees also rose to $115,500 in Q2, showing steady growth.
Livepeer’s roadmap includes expanding its AI Subnet and exploring institutional entry through vehicles like Grayscale. Its growing participation and fee capture indicate strong fundamentals for future growth.
AI Impact
By powering AI-driven video applications, Livepeer reduces streaming costs while adding features like real-time enhancement and optimization. This is especially relevant for interactive and generative media.
Bittensor TAO: The Open Market for Machine Intelligence
Bittensor is a decentralized network where AI models compete in open markets and earn rewards based on the value they deliver. Instead of selling compute, the protocol produces intelligence through its Proof of Intelligence mechanism. The network currently runs 129 specialized subnets, each acting as a marketplace for tasks such as text generation, data analysis, and decentralized compute. Since the Dynamic TAO upgrade, subnet growth has accelerated rapidly, with the ecosystem on track to exceed 200 subnets by 2026, representing a 275% expansion.
The network has reached real scale, with more than 4,000 active models contributing over 10 trillion parameters. The top 3 subnets generate over $20M in annual recurring revenue, while several subnets report uptime above 98%. Around 70% of circulating TAO remains staked, and a recent halving reduced daily emissions from 7,200 to 3,600. Institutional exposure continues to grow through the Grayscale Bittensor Trust and the Staked TAO ETP on the SIX Swiss Exchange, offering roughly 10% APY.
AI Impact
By powering AI-driven video applications, Livepeer reduces streaming costs while adding features like real-time enhancement and optimization. This is especially relevant for interactive and generative media.
The Future of AI Infrastructure
The DePIN sector is projected to reach $3.5 trillion by 2028, with AI compute demand set to grow tenfold by 2030. These projects represent the decentralized infrastructure stack that will capture increasing market share from hyperscalers.
The next phase of growth will come from convergence, as edge AI deployments, confidential computing, and cross-chain interoperability align with DePIN architectures to form a complete decentralized infrastructure stack.
The 8 projects profiled here shows that DePIN is already establishing itself as a credible layer of AI infrastructure. Their adoption signals and incentive models point to durable growth, with usage driving both utility and long-term value creation.
Conclusion
Decentralized infrastructure is becoming the backbone of AI. By unlocking idle resources, DePIN networks reduce costs, challenge cloud monopolies, and democratize innovation.
Together, these projects cover the entire AI infrastructure stack: compute, storage, media, and real-world data. Each is progressing rapidly with clear adoption signals and ambitious roadmaps.
For developers, researchers, and investors, the call to action is clear: track these projects closely. Their execution over the next two years will determine whether AI remains centralized under a few giants or finally evolves into a global, democratized ecosystem.
