Imagine it’s 2013 again. Bitcoin is just starting to gain traction on niche forums, often dismissed as a passing trend or outright scam. Now picture someone alerting you to a similar early-stage opportunity, not in crypto trading, but in the intersection of AI and decentralized physical infrastructure (DePIN).

That’s the landscape we’re navigating today. AI is reshaping industries, and decentralized compute is an underappreciated sector poised for growth, though not without challenges like market volatility and regulatory hurdles. While parallels to Bitcoin’s rise are tempting, the path forward will depend on adoption, technological maturity, and economic conditions.

From Hash Power to Compute Power

A decade ago, GPUs were primarily used for mining Bitcoin by solving cryptographic puzzles that secured the network.

Today, those same GPUs drive AI model training, inference, and simulations at unprecedented scales. The shift is evident: from energy-intensive hashing with limited real- world utility to compute that generates tangible value, such as powering machine learning applications.

Every watt now contributes to practical outcomes, but this evolution also highlights dependencies on hardware availability and energy efficiency in a competitive market.

The DePIN Explosion: Market Reality

DePIN has emerged as a dynamic sector in Web3, blending blockchain with physical infrastructure.

• In 2024, DePIN reached a peak market capitalization of over $50 billion, with more than 13 million devices contributing globally (Messari, State of DePIN 2024).
• As of October 2025, valuations have adjusted amid broader crypto market fluctuations, sitting around $20–30 billion, reflecting volatility but also resilience.
• Analysts forecast a $3.5 trillion DePIN market by 2028 (Cointelegraph / WEF Report). We’re in the early innings, comparable to Bitcoin before its first halving, but with added complexities like integration with existing infrastructure. Projects like Bittensor illustrate this momentum: Its upcoming halving around December 10–12, 2025, will reduce daily TAO issuance from 7,200 to 3,600 tokens, a move that could shift supply dynamics across the ecosystem (DL News).

As of mid-October 2025, TAO trades around $370, showing weekly gains of about 5- 10% amid anticipation, though it’s down from its yearly highs and subject to market swings.

This isn’t just about speculation; it’s about building scalable AI infrastructure, but success hinges on navigating crypto’s inherent risks.

The Cloud Monopoly and Why It Is Cracking

For now, centralized clouds such as AWS, Azure, and Google Cloud dominate AI compute. But the cracks are showing.

• AWS alone made $107.6 billion in 2024 (DataCenterDynamics).
• Cloud budgets rose by $60 billion last year as AI demand exploded (CIO Dive).
• GPU instance costs continue to rise, consuming up to 14 percent of EC2 budgets (Datadog).
• Perhaps the most revealing number: 83 percent of container spend is wasted on idle resources (Datadog, 2024 Report).

Cloud providers bill by the hour, not by output. When GPUs sit idle, which happens constantly, users still pay.

That inefficiency is exactly what decentralized compute is designed to eliminate.

Enter OGPU: Task-Based, Decentralized, and Efficient

In a world where centralized clouds charge for downtime, OGPU flips the model completely. You only pay for completed tasks, not for idle hours, wasted cycles, or over-provisioned nodes.

Here is how it works:

• Developers rent GPU compute only when it is needed.
• Users can run custom AI inference without relying on centralized APIs.
• Anyone can become a provider by connecting their GPU and earning $OGPU tokens

when their hardware is used.

It is similar to early Bitcoin mining, but this time it powers real-world AI workloads instead of speculative hashing.

Relay: Bridging Enterprises to the Decentralized World

OGPU Relay is the company’s latest innovation that bridges the gap between crypto-native compute and traditional enterprises.

Relay allows organizations to access decentralized GPU infrastructure while settling in fiat currency, making it easy for non-crypto businesses to adopt.

As more users join OGPU, the network grows exponentially and can support the same scale as AWS or Azure while cutting costs by up to 70 percent.

It creates a positive feedback loop where every new provider adds power and every new client adds stability.

For the first time, the power of AI computation is shifting away from corporate data centers and returning to the people who own the hardware.

The Human Layer: Transparency and Community

At OGPU, decentralization is not only about infrastructure; it is also about accessibility. Whether you are a developer, a researcher, or a gamer with an idle GPU, you can contribute to the network and earn passively while supporting the future of AI.

The community is active around the clock, with real engineers and users helping one another rather than faceless support systems.

Transparency is part of the culture: open communication, visible metrics, and a firm belief that the future of compute belongs to builders, not gatekeepers.

History Does Not Repeat, But It Rhymes

Everyone knows the Bitcoin story. As DePIN evolves, it offers a chance to engage with emerging infrastructure before widespread adoption, much like early Bitcoin participants did.

Decentralized compute could parallel Bitcoin’s impact on finance by enabling more accessible AI tools. If successful, it may redistribute control, lower costs, and create broader opportunities, though outcomes depend on factors like regulatory support and technological scalability.

The DePIN sector is gaining traction, with a current market cap of around $15 billion (estimated) despite recent dips. Emerging projects like OGPU, alongside established leaders such as Render and Bittensor, are helping advance this space. Similar to 2013, informed early involvement could position participants well for future developments, provided they navigate the sector’s risks.