The convergence of Decentralized Physical Infrastructure Networks (DePIN) and artificial intelligence is rapidly moving from proof-of-concept to real-world applications. GPU computing power has become a scarce resource in the digital landscape. Akash Network, Render Network, io.net, and Filecoin each represent distinct approaches within the decentralized computing market. Their unique positioning, performance metrics, and developmental trajectories make them the focal points of today’s DePIN computing sector.
Market Movements: AKT Leads the DePIN Computing Sector
As of May 29, 2026, Gate market data shows Akash Network’s token AKT trading at $0.7941, with a 53.88% price increase over the past 30 days and a 155.23% rise over the last 90 days. At the same time, Render Network’s token RENDER is priced at $2.0004, io.net’s token IO at $0.16315, and Filecoin’s token FIL at $0.9669. All four assets have recently experienced varying degrees of price volatility, prompting the market to reassess the DePIN computing landscape.
The central event in this cycle is Akash Network’s surge to the forefront of crypto market weekly gains in mid-May, widely recognized as a leading decentralized GPU cloud infrastructure project. The market is comparing Akash with Render, io.net, and similar projects, aiming to identify which on-chain assets will benefit most from the explosive growth in AI computing demand.
Four Distinct Paths: General, Specialized, Aggregated, and Storage
The evolution of the DePIN computing sector is gradual. Akash Network was an early proponent of decentralized cloud markets, enabling providers to rent out idle GPU resources for AI training and inference, with settlements in AKT tokens. Filecoin’s mainnet launch marked the operational phase of decentralized storage networks. After its token upgrade, Render Network shifted its focus to GPU rendering workloads. io.net entered the scene later, concentrating on aggregating GPU resources to serve machine learning tasks.
Each project occupies a distinct layer within the DePIN computing ecosystem.
Akash Network operates as a general-purpose computing marketplace. It imposes no restrictions on workload types, allowing any GPU-dependent task to run on its network. This versatility broadens its market reach but also brings direct competition from traditional cloud service providers.
Render Network has chosen a vertical specialization strategy. It caters specifically to graphics rendering scenarios—film VFX, game development, virtual reality content production, and more. This focus has enabled Render to build strong network effects in its niche, but it limits expansion into broader AI computing domains.
io.net is positioned toward high-concurrency, on-demand GPU scheduling. By aggregating idle GPUs from independent data centers and miners, it offers elastic computing resources to machine learning teams. This approach aligns closely with the needs of AI developers, though network stability and resource quality remain key variables yet to be fully validated.
Filecoin, strictly speaking, does not directly provide GPU computing power. It operates at the storage layer of the computing stack, addressing decentralized storage for AI training data. In the full AI workflow, storage and computation are complementary, making FIL’s narrative more about supplementing than competing.
Market Cap and Price Divergence: Where Is Short-Term Momentum Heading?
A look at market cap and price reveals significant divergence among the four tokens. According to Gate data as of May 29, 2026, RENDER leads with a market cap of $1.037 billion, followed by FIL at $759 million, AKT at $231 million, and IO trailing at $54.41 million. These differences don’t necessarily reflect the intrinsic value of each project, but they do indicate varying degrees of market recognition for their respective narratives.
One notable data point is the price change over the past 30 days: AKT surged 53.88%, IO climbed 39.66%, RENDER rose 16.54%, and FIL increased by only 5.37%. Short-term price momentum clearly favors projects with a stronger link to general-purpose computing and AI.
Three Perspectives: Generalization, Moats, and Real Adoption
Market discussions around the DePIN GPU sector currently revolve around three major viewpoints, each with distinct differences.
The first perspective argues that general-purpose computing markets will ultimately prevail. Advocates highlight the diversity of AI workloads, which makes it difficult for specialized networks to cover all needs. Akash’s general design allows it to handle everything from training to inference, rendering to scientific computing, raising its market ceiling. Recent price action reinforces this argument.
The second viewpoint emphasizes the value of vertical specialization and network moats. Render has established real partnerships in Hollywood and the gaming industry, where traditional clients face high switching costs, making the network hard to replace. While general-purpose markets are conceptually larger, they face direct competition from major cloud providers, making success less certain.
The third perspective focuses on actual network usage rather than market cap projections. Some analysts point out that decentralized GPU networks currently face challenges not from lack of demand, but from inconsistent GPU quality and stability on the supply side. Regardless of positioning, the ability to deliver enterprise-grade reliable computing services will be the key factor for long-term success.
There’s also discussion around Filecoin’s unique role. Although FIL isn’t directly competing in the GPU computing race, the demand for AI data storage is growing. If a decentralized AI tech stack needs both computation and storage, FIL could benefit indirectly as a complementary layer.
Dual Impact: Structural Effects on Crypto and AI Industries
The development of the DePIN computing sector is creating structural impacts on both the crypto and AI industries.
Within crypto, DePIN offers a practical path for bringing real-world resources on-chain. Unlike purely financial applications, DePIN projects create value by matching supply and demand for physical resources, potentially linking token prices more directly to actual network usage. If this model proves viable, DePIN could become a key bridge for attracting external users and capital into the crypto space.
From the AI industry’s perspective, decentralized computing networks provide an alternative to centralized cloud services. For AI startups with limited budgets, access to computing resources priced below mainstream cloud providers is a clear draw. While this alternative won’t threaten the dominance of major cloud firms, it could steadily penetrate niche markets.
One factual observation worth noting: actual network usage across these four projects remains in the early stages. Price fluctuations mostly reflect shifting market expectations for the future, rather than large-scale growth in network revenue. This reality means the sector is still in a validation phase, and the gap between narrative and fundamentals warrants ongoing attention.
Conclusion
Competition for on-chain GPU computing power isn’t a simple zero-sum game. These four projects occupy different positions within the computing stack, and their distinct roles create more synergy than substitution. The surge in AI computing demand marks a structural shift across the industry. Whether decentralized networks can capitalize on this change depends on their progress in technical reliability, user adoption, and network effects. Market narratives may shift quickly, but building robust infrastructure takes time. As computing power scarcity evolves from a short-term phenomenon to a long-term trend, networks that consistently deliver reliable services will be the ones that endure after the hype fades.
