MiroCrypto

On November 7, 2025, @Justin Sun孙宇晨 , founder of @TRON DAO and advisor to BitTorrent, made a bold claim on X:
“BitTorrent - The only choice for decentralized AI storage!”
At first glance, it sounded like marketing. But behind the statement lies a deeper truth about how AI, data, and decentralized infrastructure are converging, and why BitTorrent’s architecture gives it a decisive edge.


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The Hidden Bottleneck of the AI Boom
We often talk about AI’s hunger for chips and computing power. But there’s another, less glamorous crisis emerging: storage.
AI models now consume petabytes of data for training, fine-tuning, and deployment. Centralized storage solutions, even from hyperscalers like AWS, Google Cloud, or Azure, are straining under the weight of demand, cost, and regulation.
As models scale and datasets grow more global, centralized data silos introduce bottlenecks, single points of failure, and censorship risk. The AI revolution needs something more resilient, and that’s where decentralized storage enters the picture.
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Enter BitTorrent File System (BTFS)
BitTorrent’s File System isn’t new tech — it’s a reinvention of one of the internet’s most proven peer-to-peer frameworks. BTFS leverages over 100 million active nodes, 2 billion historical users, and more than 600 petabytes of distributed capacity.
That’s not just big — it’s battle-tested infrastructure that has handled high-volume file distribution for over two decades. For AI, this means a ready-made global pipeline capable of moving enormous datasets without relying on a handful of cloud providers.
Unlike data centers with fixed costs and limited expansion, BitTorrent’s model taps into unused user storage — making it infinitely scalable, cost-efficient, and geographically distributed.
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Why It Outperforms Filecoin and Arweave for AI Use Cases
While Filecoin and Arweave are excellent decentralized storage protocols, their design philosophies differ from AI’s evolving demands.
Filecoin operates on a deal-based market with variable costs and complex retrieval processes. Its storage utilization sits around 32% as of 2025 — suggesting much of its network remains idle. Arweave, meanwhile, focuses on permanent data archiving, which is perfect for long-term historical storage but less suited to the dynamic, ever-changing datasets that machine learning requires.
BitTorrent, by contrast, is built for rapid, parallel distribution. Its peer-to-peer protocol allows AI researchers and companies to share terabyte- and petabyte-scale datasets quickly, without high fees or bandwidth limitations. The system’s natural redundancy also means no single failure point — critical for mission-critical AI workloads.
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Why This Matters for the Future of AI Infrastructure
The next phase of AI isn’t just about who can train the biggest model — it’s about who can move, update, and serve data the fastest and cheapest.
In a world of rising energy and compute scarcity, storage efficiency becomes a competitive moat. BitTorrent’s decentralized, community-powered network offers an economic and technical edge that few can replicate. It provides fast retrieval, massive scalability, low cost, and genuine decentralization — four traits that align perfectly with the storage layer AI desperately needs.
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The Bigger Picture
So when Justin Sun says “BitTorrent is the only choice for decentralized AI storage,” it’s not just marketing bravado, it’s a strategic positioning statement for the AI era.
Filecoin and Arweave carved paths for decentralized permanence. BitTorrent is carving the path for decentralized performance, for a world where AI models need to share, sync, and scale massive data globally and instantly.
In a resource-constrained AI world, BitTorrent’s ecosystem stands out as both the most accessible and the most future-proof. The network that once powered the internet’s file-sharing revolution might just end up powering the AI revolution too.
#TRONEcoStar $BTTC @BitTorrent_Official