จาก BTTInferGrid สู่การซื้อคืนและเผาทำลาย BTT BitTorrent สร้าง 'Web3+AI' เป็นกำแพงป้องกันคุณค่าด้วยแนวคิดระยะยาวได้อย่างไร?

Against the backdrop of a broad industry downturn in the crypto sector, where most projects are opting to scale back and adopt a wait-and-see approach, the established decentralized infrastructure ecosystem BitTorrent has rolled out two major strategic initiatives within just one month. These moves simultaneously achieved a breakthrough expansion into the high-potential AI赛道 and a deep optimization and upgrade of its native token value system.

On June 17, BitTorrent officially launched its core AI strategic product, BTTInferGrid, building a decentralized DePIN computing network for AI inference scenarios. Leveraging its years of accumulated distributed resource scheduling capabilities, BitTorrent successfully entered the high-growth decentralized AI赛道, opening up a new revenue growth driver for the entire ecosystem.

Less than a month later, on July 6, BitTorrent further announced the launch of a long-term incentive mechanism for BTT token buybacks and burns: 100% of all revenue generated from its decentralized businesses will be used to buy back BTT, and the corresponding portion of repurchased tokens will be permanently burned on-chain. This move restructures BTT's value capture logic, deeply tying the ecosystem's real business revenue to the token's value, and provides a solid foundation for BTT's long-term value through the sustainable deflationary mechanism created by buybacks and burns.

From the launch of decentralized AI computing infrastructure to the implementation of the BTT buyback and burn plan, BitTorrent has essentially completed a dual upgrade of "building a new business growth curve + restructuring value capture." It has not only achieved a leap forward in its business boundaries but also established a clear link for transmitting the value of ecosystem business activities to the token, providing strong support for BTT's long-term value.

BitTorrent Launches BTTInferGrid Decentralized AI Inference Computing Network

At a critical juncture where the global AI industry is accelerating towards inference deployment, BitTorrent, building on its BTFS distributed storage foundation, has upgraded and launched the BTTInferGrid decentralized AI inference computing network. This network uses a decentralized architecture to address the supply-demand mismatch between idle GPUs and computing power shortages. This marks not only BitTorrent's official entry into the decentralized AI赛道 but also opens up a new growth curve for the ecosystem.

Currently, decentralized DePIN computing networks, with their resource accessibility, cost control, and distributed resilience, have become a golden track combining technological innovation and commercial value. The launch of BTTInferGrid is perfectly positioned to capitalize on this core wave of industrial upgrade.

In terms of product positioning, BTTInferGrid aims to build a decentralized AI computing network. Leveraging cryptoeconomic mechanisms and distributed consensus systems, it seeks to seamlessly connect global idle GPU and other computing resources with AI developers.

Specifically, BTTInferGrid, based on a decentralized distributed architecture, creates an inclusive, open, and shared next-generation underlying computing infrastructure. On one hand, the network can efficiently aggregate fragmented and underutilized idle GPU hardware from around the world, transforming it into a standardized computing resource pool that can be uniformly scheduled. This fully taps into the value potential of existing hardware, achieving globally optimized allocation of computing resources. On the other hand, the network breaks down the interaction barriers between computing supply and developer demand, building a linked AI inference service system that offers easy access, on-chain verifiable computation results, and flexible pay-per-use pricing.

This innovative model brings tangible value to both sides of the computing supply-demand equation:

For AI developers, BTTInferGrid provides a more cost-effective, elastic, and trustworthy inference computing foundation. It effectively alleviates operational challenges such as service lag, operational interruptions, and even user churn caused by computing shortages. This is especially true for small and medium-sized teams and independent developers, as the network significantly lowers the barrier to deploying and iterating AI applications, helping innovative projects get to market quickly.

For global GPU holders, the network establishes a sustainable long-term income channel for owners of computing resources. Through a simple access process, it activates vast amounts of edge idle hardware, including personal devices, workstations, and small data centers. This allows idle computing assets to continuously generate stable economic value within the fast-growing AI inference industry. Users can currently submit access applications through the BTTInferGrid official website to participate early in the network's construction and enjoy the initial development dividends of the ecosystem.

Compared to most decentralized computing projects starting from scratch, BTTInferGrid benefits from the mature BitTorrent ecosystem, possessing a hard-to-replicate first-mover advantage and a solid ecological foundation.

BitTorrent has been operating in the field of distributed resource scheduling for many years, boasting hundreds of millions of active users. It is arguably one of the world's largest DePIN networks. The ecosystem has already accumulated a well-established and long-verified set of distributed resource network technologies and operational expertise. These mature capabilities can be seamlessly migrated to the AI computing scenario. For instance, existing distributed node scheduling technology can be directly adapted for GPU task distribution; the market-validated token economic model can quickly build a computing incentive system; and the massive user base and community can significantly shorten the network's cold start period, enabling rapid ecosystem expansion.

In terms of implementation progress, BTTInferGrid has already completed adaptation for several major open-source models, including popular ones like Qwen3.6 27B, Qwen2.5 7B Instruct, and Meta Llama 3.1 8B Instruct. Developers can access these through the B.AI platform with a single click. The platform also plans to open standard API interfaces in the future, allowing developers to flexibly call various open-source models on demand, further lowering the usage barrier and significantly shortening the AI application development and deployment cycle.

The launch of BTTInferGrid is not just about using decentralized technology to reshape the traditional computing supply system, redefine the logic of computing production, allocation, and value flow, and break the long-standing resource monopoly of centralized platforms. It also represents BitTorrent's strategic starting point for officially entering the decentralized AI赛道, opening up entirely new growth space for the entire ecosystem.

In its long-term development plan, BTTInferGrid explicitly aims to become an AI-native infrastructure. By 2028 and beyond, it plans to build a synergistic network integrating computation, storage, and smart contracts, providing underlying support for AI Agents and various automated applications. Ultimately, it aspires to become the preferred decentralized inference layer for global open-source AI applications, offering elastic, accessible, and trustworthy computing power guarantees for next-generation large-scale, high-concurrency AI application scenarios.

BitTorrent Implements Long-Term BTT Buyback and Burn Plan: 100% of Decentralized Business Revenue Used to Buy Back BTT 

Simultaneously with its foray into the new decentralized AI赛道 via BTTInferGrid, BitTorrent has completed a comprehensive upgrade of the value system for its native token, BTT. Through a long-term buyback and burn mechanism anchored to the ecosystem's real business revenue, it fundamentally restructures the token's value capture and ecological empowerment logic, creating a positive feedback flywheel of "Business Growth - Value Return - Token Deflation" for the entire ecosystem.

On July 6, BitTorrent officially released the "Announcement on Commencing BTT Token Buyback and Burn," announcing the launch of a long-term, normalized BTT buyback and burn plan. According to the announcement's rules, 100% of all revenue generated by BitTorrent's decentralized businesses will be allocated to a dedicated BTT buyback fund pool. Regular token buybacks will be conducted on a fixed schedule, based on natural quarters. The corresponding portion of repurchased tokens will be uniformly burned on-chain, with relevant data details publicly disclosed around the middle of the month following the end of each quarter. This marks the official implementation of a BTT buyback and burn mechanism anchored to real business revenue.

Therefore, the funding source for this BTT buyback and burn plan is entirely anchored to the ecosystem's own real business operating income, executed with a predictable and sustainable standardized quarterly rhythm. This means that as BitTorrent's decentralized business landscape continues to expand—such as the growth and development of new ventures like the BTTInferGrid decentralized AI computing network—the scale of the subsequent buyback fund pool will correspondingly increase. The entire deflationary effect possesses an endogenous long-term growth driver and is by no means a one-off short-term market stimulus.

The implementation of this mechanism fundamentally reshapes BTT's value capture logic, establishing a direct empowerment channel between ecosystem growth and token value. BTT is no longer merely a utility and governance token within the ecosystem but has become a core value asset anchored to real business revenue with persistent deflationary properties. In the future, BTT community users can benefit alongside the expansion and revenue growth of the ecological business, fully sharing in the long-term dividends of the ecosystem's development.

Currently, BTT is in full circulation, with the total circulating supply in a stable and controllable equilibrium state. In this existing supply landscape, each buyback and burn directly corresponds to a substantial reduction in circulating supply, driving continuous token deflation. Based on the fundamental market logic of supply and demand, the ongoing buyback actions will steadily increase BTT's scarcity from the supply side, constructing a stable foundation for the token's long-term value.

The BTT buyback and burn plan has also garnered widespread attention and positive feedback from industry figures. Crypto KOL Anna Tangyuan stated that as the world's largest decentralized file transfer protocol, this BTT buyback undoubtedly injects a strong shot in the arm for the ecosystem, further enhancing its competitiveness in the global distributed transfer market. BitTorrent has proven with concrete actions that empowering value after technological accumulation is the long-term development path for Web3 projects.

Crypto KOL @Btcxz888 also commented, noting that BitTorrent's launch of the BTT buyback plan is not just a simple repurchase action but also reflects the team's confidence in the ecosystem's long-term development. As the ecosystem landscape expands, BTT's application boundaries will continue to widen. The implementation of the buyback and burn mechanism not only helps optimize the token economic model but also fosters stable expectations within the community regarding the ecosystem's long-term growth.

BitTorrent Builds a 'Web3+AI' Value Moat

From launching BTTInferGrid to enter the decentralized AI infrastructure track to initiating the normalized BTT buyback and burn plan based on real ecosystem income, BitTorrent is steadily executing its strategic moves with clear rhythm, building a synergistic 'Web3+AI' dual-track value moat during a market downturn.

As a long-standing, leading infrastructure ecosystem deeply rooted in peer-to-peer distributed transmission for over a decade, BitTorrent has already accumulated hard-to-replicate technological barriers and a user base in the hundreds of millions in core tracks like distributed file distribution, decentralized storage, and multi-chain interoperability. This provides a solid foundation for the entire ecosystem's long-term, stable development.

The launch of BTTInferGrid is a natural extension of these capabilities into the AI track. Leveraging the mature node resources and DePIN operational experience from BTFS and the BitTorrent user network, BitTorrent has replicated its established logic for idle resource scheduling from storage to GPU computing power. This allows it to quickly enter the high-growth AI inference track, continuing the ecosystem's technological genes while opening up entirely new avenues for business growth.

Looking at the overall ecosystem layout, BitTorrent has now formed a diversified business matrix with multi-track synergy, covering core tracks such as the BitTorrent file transfer network, the BTTC multi-chain infrastructure, and the BTTInferGrid decentralized AI computing network.

• BitTorrent File Transfer Network: Provides efficient data distribution and file transfer services for hundreds of millions of users worldwide.
• BTTC Multi-chain Infrastructure: Utilizes cross-chain technology to enable asset, data, and information interaction channels between multiple chains, providing the underlying support for on-chain settlement and value transfer within the ecosystem.
• BTTInferGrid Decentralized AI Computing Network: Efficiently aggregates global idle GPU computing resources, providing AI developers with stable, cost-effective underlying inference computing power.

If the native file transfer network and BTTC multi-chain infrastructure are the stable base supporting the ecosystem for years, then BTTInferGrid, upgraded from the BTFS system, is BitTorrent's new strategic growth engine for the AI era. It pioneers new service boundaries for the decentralized AI track and opens up exponential long-term growth space for the entire ecosystem.

If the business expansion into the new AI track represents BitTorrent's proactive offensive edge, then the long-term BTT buyback and burn mechanism anchored to the total revenue from decentralized businesses is the defensive cornerstone solidifying the ecosystem's value foundation. The implementation of this mechanism establishes a positive cycle of "Business Revenue Growth → Token Deflation Empowerment → Ecosystem Value Enhancement," ensuring that growth on the business side can tangibly transmit to token value. It completes the final piece of the value loop puzzle, from business expansion to value capture, allowing the dividends of sustained ecosystem development to directly benefit all community participants. This drives long-term ecosystem development and provides a solid fundamental support for its value.

The sequential implementation of these two core strategies has created a positive flywheel of "Business Expansion - Value Feedback" for BitTorrent. On one end, BTTInferGrid, as a decentralized AI computing infrastructure, opens up a brand-new track with vast incremental space, continuously raising the ceiling for overall revenue growth. On the other end, the BTT buyback and burn mechanism, as the key piece of the value loop, directly empowers the token's value using the ecosystem's decentralized business income. It establishes a clear chain for transmitting business value to token value. The ecosystem's growth dividends are no longer just a narrative on paper; through transparent, quarterly buyback and burn actions, they are directly transformed into tangible value support for BTT.

This series of coherent strategic moves has propelled BitTorrent's critical transition from a distributed transmission and storage service provider to a hub of value within a convergent Web3+AI ecosystem. It has not only achieved a dimensional upgrade in its business scope but also formed a fully self-consistent positive cycle in its value distribution logic—evolving from an early peer-to-peer file sharing tool into an integrated Web3+AI infrastructure ecosystem covering distributed data distribution, decentralized AI computing scheduling, and tokenized value governance. In this process, BTT has established its core role as the primary vehicle for computing settlement, ecosystem governance, and value transfer, becoming deeply intertwined with the entire ecosystem's long-term development.

While the industry awaits a cyclical recovery, relying on external narratives for impetus, BitTorrent has chosen a long-termist path of inward rooting: continuously cultivating with clear strategic rhythm and real business cash flow; supporting the launch of new ventures like BTTInferGrid with a mature, battle-tested infrastructure; and backing the BTT token value system with genuine business operating cash flow. Ultimately, it has built a long-term moat possessing both sustained business growth capability and solid value accumulation, fully equipped with the resilience to navigate multiple industry bull and bear cycles.