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BitTorrent is Building the Internet we Need𝗧𝗛𝗘 𝗡𝗘𝗫𝗧 𝗜𝗡𝗧𝗘𝗥𝗡𝗘𝗧 𝗠𝗜𝗚𝗛𝗧 𝗡𝗢𝗧 𝗡𝗘𝗘𝗗 𝗔 𝗕𝗜𝗚𝗚𝗘𝗥 𝗖𝗘𝗡𝗧𝗘𝗥 What if the future of the internet isn't about building bigger centralized infrastructure, but coordinating more of the resources already available across the network? That idea has been at the heart of @BitTorrent_Official for more than two decades. Instead of having one server handle every request, the BitTorrent protocol allows peers to exchange pieces of files directly with one another. Each participant can contribute bandwidth and resources, helping distribute the workload across the swarm. 𝗙𝗥𝗢𝗠 𝗣𝗘𝗘𝗥-𝗧𝗢-𝗣𝗘𝗘𝗥 𝗧𝗢 𝗗𝗜𝗦𝗧𝗥𝗜𝗕𝗨𝗧𝗘𝗗 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘 That principle becomes even more interesting as the internet demands more resources. AI needs enormous amounts of compute. Web3 applications need storage. Data-intensive services need reliable infrastructure. And around the world, there is already a huge amount of computing, storage and bandwidth capacity distributed across individual machines and networks. The challenge is turning those scattered resources into useful infrastructure. 𝗧𝗛𝗜𝗦 𝗜𝗦 𝗪𝗛𝗘𝗥𝗘 𝗧𝗛𝗘 𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 𝗘𝗖𝗢𝗦𝗬𝗦𝗧𝗘𝗠 𝗚𝗘𝗧𝗦 𝗜𝗡𝗧𝗘𝗥𝗘𝗦𝗧𝗜𝗡𝗚 BTFS extends the distributed approach into decentralized storage, providing a peer-to-peer system for storing and sharing digital content. BTTInferGrid takes a similar distributed-infrastructure idea into AI compute, connecting independent GPU resources with AI inference workloads and using validators and cryptoeconomic mechanisms to help verify computation. ([BTT Infergrid][2]) So the broader picture looks something like this: ➟ BitTorrent → distributed data transfer ➟ BTFS → distributed storage ➟ BTTInferGrid → distributed AI compute Different technologies, but a related principle: 𝗗𝗜𝗦𝗧𝗥𝗜𝗕𝗨𝗧𝗘 𝗧𝗛𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦. 𝗗𝗜𝗦𝗧𝗥𝗜𝗕𝗨𝗧𝗘 𝗧𝗛𝗘 𝗪𝗢𝗥𝗞. 𝗖𝗢𝗢𝗥𝗗𝗜𝗡𝗔𝗧𝗘 𝗧𝗛𝗘 𝗡𝗘𝗧𝗪𝗢𝗥𝗞. That doesn't mean centralized infrastructure disappears. It means decentralized networks can provide another way to coordinate resources and reduce dependence on a single infrastructure provider. BitTorrent's original innovation was showing that a global network could distribute information by making participants part of the delivery system. Today, that same broader philosophy is being explored across storage, compute and other decentralized services. The internet keeps evolving. But one idea remains surprisingly powerful: 𝗔 𝗡𝗘𝗧𝗪𝗢𝗥𝗞 𝗖𝗔𝗡 𝗕𝗘𝗖𝗢𝗠𝗘 𝗦𝗧𝗥𝗢𝗡𝗚𝗘𝗥 𝗪𝗛𝗘𝗡 𝗜𝗧 𝗖𝗔𝗡 𝗨𝗦𝗘 𝗧𝗛𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝗢𝗙 𝗜𝗧𝗦 𝗣𝗔𝗥𝗧𝗜𝗖𝗜𝗣𝗔𝗡𝗧𝗦. @BitTorrent_Official @JustinSun #BitTorrent #BTFS #BTTInferGrid #TRONEcoStar

BitTorrent is Building the Internet we Need

𝗧𝗛𝗘 𝗡𝗘𝗫𝗧 𝗜𝗡𝗧𝗘𝗥𝗡𝗘𝗧 𝗠𝗜𝗚𝗛𝗧 𝗡𝗢𝗧 𝗡𝗘𝗘𝗗 𝗔 𝗕𝗜𝗚𝗚𝗘𝗥 𝗖𝗘𝗡𝗧𝗘𝗥
What if the future of the internet isn't about building bigger centralized infrastructure, but coordinating more of the resources already available across the network?
That idea has been at the heart of @BitTorrent_Official for more than two decades.
Instead of having one server handle every request, the BitTorrent protocol allows peers to exchange pieces of files directly with one another. Each participant can contribute bandwidth and resources, helping distribute the workload across the swarm.
𝗙𝗥𝗢𝗠 𝗣𝗘𝗘𝗥-𝗧𝗢-𝗣𝗘𝗘𝗥 𝗧𝗢 𝗗𝗜𝗦𝗧𝗥𝗜𝗕𝗨𝗧𝗘𝗗 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘
That principle becomes even more interesting as the internet demands more resources.
AI needs enormous amounts of compute.
Web3 applications need storage.
Data-intensive services need reliable infrastructure.
And around the world, there is already a huge amount of computing, storage and bandwidth capacity distributed across individual machines and networks.
The challenge is turning those scattered resources into useful infrastructure.
𝗧𝗛𝗜𝗦 𝗜𝗦 𝗪𝗛𝗘𝗥𝗘 𝗧𝗛𝗘 𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 𝗘𝗖𝗢𝗦𝗬𝗦𝗧𝗘𝗠 𝗚𝗘𝗧𝗦 𝗜𝗡𝗧𝗘𝗥𝗘𝗦𝗧𝗜𝗡𝗚
BTFS extends the distributed approach into decentralized storage, providing a peer-to-peer system for storing and sharing digital content.
BTTInferGrid takes a similar distributed-infrastructure idea into AI compute, connecting independent GPU resources with AI inference workloads and using validators and cryptoeconomic mechanisms to help verify computation. ([BTT Infergrid][2])
So the broader picture looks something like this:
➟ BitTorrent → distributed data transfer
➟ BTFS → distributed storage
➟ BTTInferGrid → distributed AI compute
Different technologies, but a related principle:
𝗗𝗜𝗦𝗧𝗥𝗜𝗕𝗨𝗧𝗘 𝗧𝗛𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦.
𝗗𝗜𝗦𝗧𝗥𝗜𝗕𝗨𝗧𝗘 𝗧𝗛𝗘 𝗪𝗢𝗥𝗞.
𝗖𝗢𝗢𝗥𝗗𝗜𝗡𝗔𝗧𝗘 𝗧𝗛𝗘 𝗡𝗘𝗧𝗪𝗢𝗥𝗞.
That doesn't mean centralized infrastructure disappears.
It means decentralized networks can provide another way to coordinate resources and reduce dependence on a single infrastructure provider.
BitTorrent's original innovation was showing that a global network could distribute information by making participants part of the delivery system.
Today, that same broader philosophy is being explored across storage, compute and other decentralized services.
The internet keeps evolving.
But one idea remains surprisingly powerful:
𝗔 𝗡𝗘𝗧𝗪𝗢𝗥𝗞 𝗖𝗔𝗡 𝗕𝗘𝗖𝗢𝗠𝗘 𝗦𝗧𝗥𝗢𝗡𝗚𝗘𝗥 𝗪𝗛𝗘𝗡 𝗜𝗧 𝗖𝗔𝗡 𝗨𝗦𝗘 𝗧𝗛𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝗢𝗙 𝗜𝗧𝗦 𝗣𝗔𝗥𝗧𝗜𝗖𝗜𝗣𝗔𝗡𝗧𝗦.
@BitTorrent_Official @Justin Sun孙宇晨
#BitTorrent #BTFS #BTTInferGrid #TRONEcoStar
𝗕𝗧𝗧𝗜𝗻𝗳𝗲𝗿𝗚𝗿𝗶𝗱 𝗞𝗲𝗲𝗽𝘀 𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗤𝘄𝗲𝗻𝟯.𝟴-𝟮𝟳𝗕: 𝗧𝗵𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹 𝗣𝗹𝗮𝘆𝗴𝗿𝗼𝘂𝗻𝗱! AI builders now have another model to put to the test. Qwen3.8-27B, developed by the Alibaba Qwen team, has joined the growing BTTInferGrid lineup, bringing an open-weight vision-language model with 27B parameters to the network. Through B.AI, developers can access the model in two ways: → Web Chat for direct interaction → API access for building and integrating applications Qwen3.8-27B can support a range of AI workloads, including: → Vision-language applications → AI agents → Automation → Conversational AI → Custom AI workflows The bigger opportunity is choice. With more models available through BTTInferGrid, builders can experiment with different capabilities and select the model that fits their specific workload instead of constantly jumping between platforms. 27B parameters. Open-weight. Vision-language capable. Now available through B.AI. For anyone building with AI, Qwen3.8-27B is another model worth putting through a real workload. @BAI_AGI @JustinSun #BTTInferGrid #BAI #TRON #TRONEcoStar
𝗕𝗧𝗧𝗜𝗻𝗳𝗲𝗿𝗚𝗿𝗶𝗱 𝗞𝗲𝗲𝗽𝘀 𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗤𝘄𝗲𝗻𝟯.𝟴-𝟮𝟳𝗕: 𝗧𝗵𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹 𝗣𝗹𝗮𝘆𝗴𝗿𝗼𝘂𝗻𝗱!

AI builders now have another model to put to the test.

Qwen3.8-27B, developed by the Alibaba Qwen team, has joined the growing BTTInferGrid lineup, bringing an open-weight vision-language model with 27B parameters to the network.

Through B.AI, developers can access the model in two ways:

→ Web Chat for direct interaction
→ API access for building and integrating applications

Qwen3.8-27B can support a range of AI workloads, including:

→ Vision-language applications
→ AI agents
→ Automation
→ Conversational AI
→ Custom AI workflows

The bigger opportunity is choice.

With more models available through BTTInferGrid, builders can experiment with different capabilities and select the model that fits their specific workload instead of constantly jumping between platforms.

27B parameters.
Open-weight.
Vision-language capable.
Now available through B.AI.

For anyone building with AI, Qwen3.8-27B is another model worth putting through a real workload.

@BAI_AGI @Justin Sun孙宇晨

#BTTInferGrid #BAI #TRON #TRONEcoStar
AI might have a compute problem hiding in plain sight. We have powerful GPUs sitting across data centers, homes, and distributed infrastructure, yet accessing reliable AI compute at scale still depends heavily on centralized providers. #BTTInferGrid is taking a different route. Instead of building another AI model, it is building the infrastructure that lets distributed GPU resources become usable AI inference capacity. The architecture is surprisingly straightforward: GPU owners provide compute → AI models run through inference engines like vLLM or SGLang → InferGrid coordinates the nodes → monitoring and verification keep the network accountable. On the miner side, the stack includes three important pieces: • LLM Runtime — runs the AI model and exposes an OpenAI-compatible API • DCGM Exporter — monitors NVIDIA GPU performance and resource metrics • Miner Agent — handles node registration, identity, heartbeats, GPU information and challenge verification And becoming a node isn't just a matter of plugging in a GPU. InferGrid currently supports Linux x86_64 machines with NVIDIA GPUs and requires the appropriate drivers, Docker, NVIDIA Container Toolkit and other dependencies. Its miner CLI then helps with diagnostics, runtime preparation and deployment. What makes this especially interesting is the direction behind it. @BitTorrent_Official has spent years building around distributed resources. Now, that same philosophy is being pushed toward one of the most resource-hungry areas in technology: AI. From distributing data to distributing compute. From idle GPU capacity to AI inference infrastructure. The bigger picture isn't simply “decentralized AI.” It's a network designed to turn fragmented GPU capacity into infrastructure AI applications can actually use. BTT InferGrid could be an important piece of the bridge between the world's growing demand for AI compute and the enormous amount of distributed hardware already sitting around us. Explore and get in: 👉 bttinfergrid.ai #BTTC #BitTorrent @JustinSun
AI might have a compute problem hiding in plain sight.

We have powerful GPUs sitting across data centers, homes, and distributed infrastructure, yet accessing reliable AI compute at scale still depends heavily on centralized providers.

#BTTInferGrid is taking a different route.

Instead of building another AI model, it is building the infrastructure that lets distributed GPU resources become usable AI inference capacity.

The architecture is surprisingly straightforward:

GPU owners provide compute → AI models run through inference engines like vLLM or SGLang → InferGrid coordinates the nodes → monitoring and verification keep the network accountable.

On the miner side, the stack includes three important pieces:

• LLM Runtime — runs the AI model and exposes an OpenAI-compatible API
• DCGM Exporter — monitors NVIDIA GPU performance and resource metrics
• Miner Agent — handles node registration, identity, heartbeats, GPU information and challenge verification

And becoming a node isn't just a matter of plugging in a GPU.

InferGrid currently supports Linux x86_64 machines with NVIDIA GPUs and requires the appropriate drivers, Docker, NVIDIA Container Toolkit and other dependencies. Its miner CLI then helps with diagnostics, runtime preparation and deployment.

What makes this especially interesting is the direction behind it.

@BitTorrent_Official has spent years building around distributed resources. Now, that same philosophy is being pushed toward one of the most resource-hungry areas in technology: AI.

From distributing data to distributing compute.

From idle GPU capacity to AI inference infrastructure.

The bigger picture isn't simply “decentralized AI.”

It's a network designed to turn fragmented GPU capacity into infrastructure AI applications can actually use.

BTT InferGrid could be an important piece of the bridge between the world's growing demand for AI compute and the enormous amount of distributed hardware already sitting around us.

Explore and get in: 👉 bttinfergrid.ai

#BTTC #BitTorrent @Justin Sun孙宇晨
🚀 赋能 Web3 基础设施:BitTorrent 的发展路线规划 从早期单一的 Torrent 文件传输工具,到如今集分布式存储(BTFS)、跨链扩容(BTTC)、AI 算力(#BTTInferGrid )于一体的综合基础设施,BitTorrent 的发展路线十分明确。 未来,BitTorrent 将继续深化与 TRON 生态的协同,重点推进 AI 推理网络的节点规模化与商业落地,让全球闲置算力更好地服务于智能经济。 同时,2026 年 Q3 正式落地的 100% 服务营收回购销毁计划,将彻底完成从“庞大网络”到“强通缩代币”的闭环,让协议增长收益真正惠及全体 BTT 持有者。 作为 TRON 生态的核心支柱,BitTorrent 的 Web3 演进之路才刚刚开始。欢迎加入官方社区共建! @BitTorrent_Official @JustinSun #TRONEcoStar
🚀
赋能 Web3 基础设施:BitTorrent 的发展路线规划

从早期单一的 Torrent 文件传输工具,到如今集分布式存储(BTFS)、跨链扩容(BTTC)、AI 算力(#BTTInferGrid )于一体的综合基础设施,BitTorrent 的发展路线十分明确。

未来,BitTorrent 将继续深化与 TRON 生态的协同,重点推进 AI 推理网络的节点规模化与商业落地,让全球闲置算力更好地服务于智能经济。

同时,2026 年 Q3 正式落地的 100% 服务营收回购销毁计划,将彻底完成从“庞大网络”到“强通缩代币”的闭环,让协议增长收益真正惠及全体 BTT 持有者。

作为 TRON 生态的核心支柱,BitTorrent 的 Web3 演进之路才刚刚开始。欢迎加入官方社区共建!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
🛠️ 开发者生态与开放协议:极客与社区协同创新 去中心化网络的生命力源于开放性。BitTorrent 协议自诞生之日起就保持完全开放,任何开发者都可以基于其底层 API 构筑去中心化应用或优化节点服务。 随着 BTFS、BTTC 以及 #BTTInferGrid 的推出,官方为开发者提供了丰富的开发工具包(SDK)与文档,降低了构建去中心化存储与 AI 算力 DApp 的门槛。 社区开发者不仅能通过优化节点获得 BTT 激励,还能参与到网络协议的治理讨论中,共同推动 P2P 技术的持续演进。 庞大的开发者社区支撑着全球 5.83 亿次的累计客户端安装量。伴随 2026 年启动的 100% 营收回购计划,生态繁荣将直接回馈社区。立即加入交流! @BitTorrent_Official @JustinSun #TRONEcoStar
🛠️
开发者生态与开放协议:极客与社区协同创新

去中心化网络的生命力源于开放性。BitTorrent 协议自诞生之日起就保持完全开放,任何开发者都可以基于其底层 API 构筑去中心化应用或优化节点服务。

随着 BTFS、BTTC 以及
#BTTInferGrid
的推出,官方为开发者提供了丰富的开发工具包(SDK)与文档,降低了构建去中心化存储与 AI 算力 DApp 的门槛。

社区开发者不仅能通过优化节点获得 BTT 激励,还能参与到网络协议的治理讨论中,共同推动 P2P 技术的持续演进。

庞大的开发者社区支撑着全球 5.83 亿次的累计客户端安装量。伴随 2026 年启动的 100% 营收回购计划,生态繁荣将直接回馈社区。立即加入交流!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
🎯 总结与展望:BitTorrent 的核心优势与未来价值 总结来看,BitTorrent 项目具备三大不可替代的核心优势:一是拥有全球超 5.83 亿次安装量的海量现实用户基础;二是拥有 BTFS、BTTC 和 #BTTInferGrid 构筑的完善 Web3 基础设施;三是拥有 TRON 生态强大的资本与流动性支持。 而 2026 年第三季度启动的 100% 去中心化服务营收回购销毁计划,加上高达 6.46% APY 的 BTT 质押回报,则彻底打通了从业务使用到代币升值的价值通道。 无论是作为去中心化存储与算力网络的参与者,还是作为 long-term 持有者,BitTorrent 都展现出极强的抗风险能力与发展潜能。 立即加入官方社区,随时获取项目最新动态,共同迎接去中心化网络的新时代! @BitTorrent_Official @JustinSun #TRONEcoStar
🎯
总结与展望:BitTorrent 的核心优势与未来价值

总结来看,BitTorrent 项目具备三大不可替代的核心优势:一是拥有全球超 5.83 亿次安装量的海量现实用户基础;二是拥有 BTFS、BTTC 和
#BTTInferGrid
构筑的完善 Web3 基础设施;三是拥有 TRON 生态强大的资本与流动性支持。

而 2026 年第三季度启动的 100% 去中心化服务营收回购销毁计划,加上高达 6.46% APY 的 BTT 质押回报,则彻底打通了从业务使用到代币升值的价值通道。

无论是作为去中心化存储与算力网络的参与者,还是作为 long-term 持有者,BitTorrent 都展现出极强的抗风险能力与发展潜能。

立即加入官方社区,随时获取项目最新动态,共同迎接去中心化网络的新时代!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
⚡ BITTORRENT 如何赋能 TRON 生态系统的长远发展? 在 TRON 生态系统中,BitTorrent 扮演着“底层去中心化数据与基础设施供给者”的关键角色。TRON 拥有庞大的 DeFi 和稳定币转账网络,而 BitTorrent 则为其补齐了去中心化存储与算力调度的拼图。 通过 BitTorrent Chain(BTTC),BitTorrent 实现了 TRON、Ethereum 和 BNB Chain 之间的跨链互操作性,不仅降低了跨链数据传输成本,更极大地拓展了 TRON 生态的流动性边界。 此外,TRON 生态中的 NFT、元宇宙及 DeFi 项目,普遍采用 BTFS 存储元数据与文件,确保了链上资产数据的去中心化与永久可用性。 随着 2026 年启动的 100% 业务收入回购销毁机制以及 #BTTInferGrid 算力扩展,BitTorrent 将持续提升 TRON 生态的整体价值。立即关注官方社区! @BitTorrent_Official @JustinSun #TRONEcoStar

BITTORRENT 如何赋能 TRON 生态系统的长远发展?

在 TRON 生态系统中,BitTorrent 扮演着“底层去中心化数据与基础设施供给者”的关键角色。TRON 拥有庞大的 DeFi 和稳定币转账网络,而 BitTorrent 则为其补齐了去中心化存储与算力调度的拼图。

通过 BitTorrent Chain(BTTC),BitTorrent 实现了 TRON、Ethereum 和 BNB Chain 之间的跨链互操作性,不仅降低了跨链数据传输成本,更极大地拓展了 TRON 生态的流动性边界。

此外,TRON 生态中的 NFT、元宇宙及 DeFi 项目,普遍采用 BTFS 存储元数据与文件,确保了链上资产数据的去中心化与永久可用性。

随着 2026 年启动的 100% 业务收入回购销毁机制以及
#BTTInferGrid
算力扩展,BitTorrent 将持续提升 TRON 生态的整体价值。立即关注官方社区!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
🛡️ 监管阴霾散去 法律合规为机构入场扫清障碍 项目发展不仅需要技术的突破,更需要清晰、透明的监管环境支持。随着相关监管诉讼的彻底澄清与终结,BitTorrent 及其生态迎来了长远发展的重大法律利好。 合规风险的消除,极大地提升了 TRON 与 BitTorrent 生态在国际主流金融市场与机构投资者眼中的信任度,为未来引进更多传统资本与商业合作扫清了障碍。 在良好的合规基础上,BitTorrent 能够更专注于技术研发与商业拓展,稳步推进 BTFS 存储、BTTC 跨链以及 #BTTInferGrid AI 算力网络的升级。 再加上 2026 年第三季度启动的透明链上回购销毁机制,项目的长远发展根基更加稳固。立即加入官方社区! @BitTorrent_Official @JustinSun #TRONEcoStar
🛡️
监管阴霾散去 法律合规为机构入场扫清障碍

项目发展不仅需要技术的突破,更需要清晰、透明的监管环境支持。随着相关监管诉讼的彻底澄清与终结,BitTorrent 及其生态迎来了长远发展的重大法律利好。

合规风险的消除,极大地提升了 TRON 与 BitTorrent 生态在国际主流金融市场与机构投资者眼中的信任度,为未来引进更多传统资本与商业合作扫清了障碍。

在良好的合规基础上,BitTorrent 能够更专注于技术研发与商业拓展,稳步推进 BTFS 存储、BTTC 跨链以及
#BTTInferGrid
AI 算力网络的升级。

再加上 2026 年第三季度启动的透明链上回购销毁机制,项目的长远发展根基更加稳固。立即加入官方社区!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 𝗜𝗦 𝗠𝗢𝗩𝗜𝗡𝗚 𝗕𝗘𝗬𝗢𝗡𝗗 𝗦𝗛𝗔𝗥𝗜𝗡𝗚 𝗙𝗜𝗟𝗘𝗦 BTTInferGrid introduces another side of decentralized infrastructure: distributed AI compute. Independent GPU providers can contribute computing resources while AI workloads are routed through the network. That turns idle or available hardware into something more useful. And the model has another interesting layer. As decentralized services gain adoption, they can potentially generate additional revenue for the broader BitTorrent ecosystem. This makes BTTInferGrid more than an AI narrative. It is part of a larger push toward decentralized infrastructure that can provide real utility. #BitTorrent #TRONEcoStar #BTTInferGrid #DecentralizedCompute @BitTorrent_Official @JustinSun
𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 𝗜𝗦 𝗠𝗢𝗩𝗜𝗡𝗚 𝗕𝗘𝗬𝗢𝗡𝗗 𝗦𝗛𝗔𝗥𝗜𝗡𝗚 𝗙𝗜𝗟𝗘𝗦

BTTInferGrid introduces another side of decentralized infrastructure: distributed AI compute.

Independent GPU providers can contribute computing resources while AI workloads are routed through the network.

That turns idle or available hardware into something more useful.

And the model has another interesting layer.

As decentralized services gain adoption, they can potentially generate additional revenue for the broader BitTorrent ecosystem.

This makes BTTInferGrid more than an AI narrative.

It is part of a larger push toward decentralized infrastructure that can provide real utility.

#BitTorrent #TRONEcoStar #BTTInferGrid #DecentralizedCompute @BitTorrent_Official @Justin Sun孙宇晨
𝗜𝗡 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗖𝗢𝗠𝗣𝗨𝗧𝗘, 𝗛𝗔𝗩𝗜𝗡𝗚 𝗔 𝗚𝗣𝗨 𝗜𝗦 𝗢𝗡𝗟𝗬 𝗣𝗔𝗥𝗧 𝗢𝗙 𝗧𝗛𝗘 𝗝𝗢𝗕 A decentralized AI network needs more than raw hardware. It needs reliable hardware. For BTTInferGrid, miners contribute GPU resources to AI workloads, making uptime and performance important parts of the network experience. A powerful GPU that constantly fails is not as useful as dependable infrastructure that consistently completes workloads. That creates an important principle for decentralized compute: Performance matters. Reliability matters. Consistency matters. As distributed AI networks grow, the quality of the participating infrastructure could become one of their biggest competitive advantages. #BitTorrent #TRONEcoStar #BTTInferGrid #AICompute #DePIN @BitTorrent_Official @JustinSun
𝗜𝗡 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗖𝗢𝗠𝗣𝗨𝗧𝗘, 𝗛𝗔𝗩𝗜𝗡𝗚 𝗔 𝗚𝗣𝗨 𝗜𝗦 𝗢𝗡𝗟𝗬 𝗣𝗔𝗥𝗧 𝗢𝗙 𝗧𝗛𝗘 𝗝𝗢𝗕

A decentralized AI network needs more than raw hardware.

It needs reliable hardware.

For BTTInferGrid, miners contribute GPU resources to AI workloads, making uptime and performance important parts of the network experience.

A powerful GPU that constantly fails is not as useful as dependable infrastructure that consistently completes workloads.

That creates an important principle for decentralized compute:

Performance matters.

Reliability matters.

Consistency matters.

As distributed AI networks grow, the quality of the participating infrastructure could become one of their biggest competitive advantages.

#BitTorrent #TRONEcoStar #BTTInferGrid #AICompute #DePIN @BitTorrent_Official @Justin Sun孙宇晨
𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗡𝗘𝗘𝗗𝗦 𝗥𝗘𝗟𝗜𝗔𝗕𝗟𝗘 𝗣𝗔𝗥𝗧𝗜𝗖𝗜𝗣𝗔𝗡𝗧𝗦 A GPU sitting online is not automatically useful. AI workloads need compute resources that can actually deliver. That is why miner performance becomes important in networks such as BTTInferGrid. Reliable providers can help maintain better workload execution, while inconsistent infrastructure can reduce the quality of the network. This turns hardware performance into part of the decentralized marketplace. The future of distributed AI will not simply be about how many GPUs join. It will also be about how well those GPUs perform. #BitTorrent #TRONEcoStar #BTTInferGrid #AI #DePIN $BTTC @JustinSun
𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗡𝗘𝗘𝗗𝗦 𝗥𝗘𝗟𝗜𝗔𝗕𝗟𝗘 𝗣𝗔𝗥𝗧𝗜𝗖𝗜𝗣𝗔𝗡𝗧𝗦

A GPU sitting online is not automatically useful.

AI workloads need compute resources that can actually deliver.

That is why miner performance becomes important in networks such as BTTInferGrid.

Reliable providers can help maintain better workload execution, while inconsistent infrastructure can reduce the quality of the network.

This turns hardware performance into part of the decentralized marketplace.

The future of distributed AI will not simply be about how many GPUs join.

It will also be about how well those GPUs perform.

#BitTorrent #TRONEcoStar #BTTInferGrid #AI #DePIN $BTTC @Justin Sun孙宇晨
𝗧𝗛𝗘 𝗦𝗧𝗥𝗢𝗡𝗚𝗘𝗦𝗧 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗡𝗘𝗧𝗪𝗢𝗥𝗞𝗦 𝗔𝗥𝗘 𝗕𝗨𝗜𝗟𝗧 𝗔𝗥𝗢𝗨𝗡𝗗 𝗨𝗦𝗘𝗙𝗨𝗟 𝗖𝗢𝗡𝗧𝗥𝗜𝗕𝗨𝗧𝗜𝗢𝗡𝗦 For BTTInferGrid, GPUs are the engine behind distributed AI compute. But network growth cannot depend on quantity alone. Miners need to provide useful, dependable capacity. The better the infrastructure performs, the more valuable it becomes to AI workloads. This creates a natural incentive for participants to think beyond simply connecting hardware. The goal is to provide compute that applications can actually depend on. That is where decentralized AI infrastructure becomes much more interesting. #BitTorrent #TRONEcoStar #BTTInferGrid #AICompute #Web3 @JustinSun @BitTorrent_Official
𝗧𝗛𝗘 𝗦𝗧𝗥𝗢𝗡𝗚𝗘𝗦𝗧 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗡𝗘𝗧𝗪𝗢𝗥𝗞𝗦 𝗔𝗥𝗘 𝗕𝗨𝗜𝗟𝗧 𝗔𝗥𝗢𝗨𝗡𝗗 𝗨𝗦𝗘𝗙𝗨𝗟 𝗖𝗢𝗡𝗧𝗥𝗜𝗕𝗨𝗧𝗜𝗢𝗡𝗦

For BTTInferGrid, GPUs are the engine behind distributed AI compute.

But network growth cannot depend on quantity alone.

Miners need to provide useful, dependable capacity.

The better the infrastructure performs, the more valuable it becomes to AI workloads.

This creates a natural incentive for participants to think beyond simply connecting hardware.

The goal is to provide compute that applications can actually depend on.

That is where decentralized AI infrastructure becomes much more interesting.

#BitTorrent #TRONEcoStar #BTTInferGrid #AICompute #Web3 @Justin Sun孙宇晨 @BitTorrent_Official
𝗗𝗘𝗠𝗔𝗡𝗗 𝗜𝗦 𝗪𝗛𝗔𝗧 𝗧𝗨𝗥𝗡𝗦 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘 𝗜𝗡𝗧𝗢 𝗔 𝗥𝗘𝗔𝗟 𝗡𝗘𝗧𝗪𝗢𝗥𝗞 More AI workloads create demand for compute. More demand attracts more GPU providers. More providers increase available capacity. More capacity can support more workloads. That creates a network cycle that can strengthen as usage grows. BTTInferGrid is positioned around this idea by connecting GPU resources with AI workloads through decentralized infrastructure. The important factor is not simply how many machines join the network. It is whether real users actually need the compute. Utility creates demand. Demand creates activity. And activity gives infrastructure a reason to grow. #BitTorrent #TRONEcoStar #BTTInferGrid #AI #DePIN $BTTC @BitTorrent_Official @JustinSun
𝗗𝗘𝗠𝗔𝗡𝗗 𝗜𝗦 𝗪𝗛𝗔𝗧 𝗧𝗨𝗥𝗡𝗦 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘 𝗜𝗡𝗧𝗢 𝗔 𝗥𝗘𝗔𝗟 𝗡𝗘𝗧𝗪𝗢𝗥𝗞

More AI workloads create demand for compute.

More demand attracts more GPU providers.

More providers increase available capacity.

More capacity can support more workloads.

That creates a network cycle that can strengthen as usage grows.

BTTInferGrid is positioned around this idea by connecting GPU resources with AI workloads through decentralized infrastructure.

The important factor is not simply how many machines join the network.

It is whether real users actually need the compute.

Utility creates demand.

Demand creates activity.

And activity gives infrastructure a reason to grow.

#BitTorrent #TRONEcoStar #BTTInferGrid #AI #DePIN $BTTC @BitTorrent_Official @Justin Sun孙宇晨
𝗚𝗣𝗨𝗦 𝗔𝗥𝗢𝗨𝗡𝗗 𝗧𝗛𝗘 𝗪𝗢𝗥𝗟𝗗 𝗖𝗢𝗨𝗟𝗗 𝗕𝗘𝗖𝗢𝗠𝗘 𝗣𝗔𝗥𝗧 𝗢𝗙 𝗢𝗡𝗘 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗔𝗜 𝗡𝗘𝗧𝗪𝗢𝗥𝗞 That is the idea behind BTTInferGrid. Instead of relying entirely on centralized infrastructure, the network connects independent GPU resources with AI workloads. Miners provide computing capacity while validators help verify the work. This creates a distributed approach to AI inference where unused or available GPU resources can become part of a larger compute network. It also gives BitTorrent another potential source of decentralized service activity and revenue. The bigger picture is fascinating: Storage. Compute. AI. One ecosystem moving toward decentralized infrastructure. #BitTorrent #TRONEcoStar #BTTInferGrid #AI #DePIN @BitTorrent_Official @JustinSun
𝗚𝗣𝗨𝗦 𝗔𝗥𝗢𝗨𝗡𝗗 𝗧𝗛𝗘 𝗪𝗢𝗥𝗟𝗗 𝗖𝗢𝗨𝗟𝗗 𝗕𝗘𝗖𝗢𝗠𝗘 𝗣𝗔𝗥𝗧 𝗢𝗙 𝗢𝗡𝗘 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗔𝗜 𝗡𝗘𝗧𝗪𝗢𝗥𝗞

That is the idea behind BTTInferGrid.

Instead of relying entirely on centralized infrastructure, the network connects independent GPU resources with AI workloads.

Miners provide computing capacity while validators help verify the work.

This creates a distributed approach to AI inference where unused or available GPU resources can become part of a larger compute network.

It also gives BitTorrent another potential source of decentralized service activity and revenue.

The bigger picture is fascinating:

Storage.

Compute.

AI.

One ecosystem moving toward decentralized infrastructure.

#BitTorrent #TRONEcoStar #BTTInferGrid #AI #DePIN @BitTorrent_Official @Justin Sun孙宇晨
𝗧𝗛𝗘 𝗔𝗜 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗦𝗧ORY 𝗜𝗦 𝗚𝗥𝗢𝗪𝗜𝗡𝗚, 𝗔𝗡𝗗 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗚𝗣𝗨𝗦 𝗖𝗢𝗨𝗟𝗗 𝗣𝗟𝗔𝗬 𝗔 𝗕𝗜𝗚𝗚𝗘𝗥 𝗥𝗢𝗟𝗘 BTTInferGrid is designed around a simple concept: connect available GPU resources with AI workloads through a decentralized network. Instead of computing everything through one centralized provider, distributed resources can contribute capacity to the network. Miners provide GPU power. Validators help verify workloads. AI applications get access to distributed compute. It is an interesting evolution of the BitTorrent model. The same broader philosophy of turning distributed resources into useful infrastructure is now moving into AI compute. #BitTorrent #TRONEcoStar #BTTInferGrid #AICompute #Web3 @JustinSun @BitTorrent_Official
𝗧𝗛𝗘 𝗔𝗜 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗦𝗧ORY 𝗜𝗦 𝗚𝗥𝗢𝗪𝗜𝗡𝗚, 𝗔𝗡𝗗 𝗗𝗘𝗖𝗘𝗡𝗧𝗥𝗔𝗟𝗜𝗭𝗘𝗗 𝗚𝗣𝗨𝗦 𝗖𝗢𝗨𝗟𝗗 𝗣𝗟𝗔𝗬 𝗔 𝗕𝗜𝗚𝗚𝗘𝗥 𝗥𝗢𝗟𝗘

BTTInferGrid is designed around a simple concept: connect available GPU resources with AI workloads through a decentralized network.

Instead of computing everything through one centralized provider, distributed resources can contribute capacity to the network.

Miners provide GPU power.

Validators help verify workloads.

AI applications get access to distributed compute.

It is an interesting evolution of the BitTorrent model.

The same broader philosophy of turning distributed resources into useful infrastructure is now moving into AI compute.

#BitTorrent #TRONEcoStar #BTTInferGrid #AICompute #Web3 @Justin Sun孙宇晨 @BitTorrent_Official
𝗥𝗘𝗔𝗟 𝗨𝗧𝗜𝗟𝗜𝗧𝗬 𝗖𝗔𝗡 𝗖𝗥𝗘𝗔𝗧𝗘 𝗔 𝗩𝗘𝗥𝗬 𝗜𝗡𝗧𝗘𝗥𝗘𝗦𝗧𝗜𝗡𝗚 $𝗕𝗧𝗧 𝗖𝗬𝗖𝗟𝗘 BitTorrent’s planned buyback and burn mechanism connects decentralized service revenue with BTT supply reduction. The idea is straightforward. Decentralized services generate revenue. That revenue supports BTT market purchases. The purchased BTT is then sent to a burn address. The tokens are permanently removed from circulation. What makes this especially interesting is the role services such as BTTInferGrid could play in generating additional activity across the ecosystem. The first Q3 buyback and burn data should provide a clearer picture of how this model works in practice. The numbers will matter more than the narrative. #BitTorrent #TRONEcoStar #BTT #BTTInferGrid #Crypto @JustinSun @BitTorrent_Official
𝗥𝗘𝗔𝗟 𝗨𝗧𝗜𝗟𝗜𝗧𝗬 𝗖𝗔𝗡 𝗖𝗥𝗘𝗔𝗧𝗘 𝗔 𝗩𝗘𝗥𝗬 𝗜𝗡𝗧𝗘𝗥𝗘𝗦𝗧𝗜𝗡𝗚 $𝗕𝗧𝗧 𝗖𝗬𝗖𝗟𝗘

BitTorrent’s planned buyback and burn mechanism connects decentralized service revenue with BTT supply reduction.

The idea is straightforward.

Decentralized services generate revenue.

That revenue supports BTT market purchases.

The purchased BTT is then sent to a burn address.

The tokens are permanently removed from circulation.

What makes this especially interesting is the role services such as BTTInferGrid could play in generating additional activity across the ecosystem.

The first Q3 buyback and burn data should provide a clearer picture of how this model works in practice.

The numbers will matter more than the narrative.

#BitTorrent #TRONEcoStar #BTT #BTTInferGrid #Crypto @Justin Sun孙宇晨 @BitTorrent_Official
𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 𝗜𝗦 𝗖𝗢𝗡𝗡𝗘𝗖𝗧𝗜𝗡𝗚 𝗦𝗘𝗥𝗩𝗜𝗖𝗘 𝗥𝗘𝗩𝗘𝗡𝗨𝗘 𝗧𝗢 $𝗕𝗧𝗧 A new chapter for the BitTorrent ecosystem is taking shape. Starting in Q3 2026, BitTorrent says revenue generated from its decentralized services will be used for BTT buybacks, with purchased tokens sent to a burn address. The concept creates a direct economic loop: More decentralized services → More usage → More revenue → More BTT buybacks → More BTT removed from circulation The first major checkpoint will be the Q3 results and the planned October disclosure. The important part is that the actual numbers will show how much economic activity the decentralized services are generating. That makes the upcoming burn something worth watching closely. #BitTorrent #TRONEcoStar #BTT #BTTInferGrid #TRON @BitTorrent_Official @JustinSun
𝗕𝗜𝗧𝗧𝗢𝗥𝗥𝗘𝗡𝗧 𝗜𝗦 𝗖𝗢𝗡𝗡𝗘𝗖𝗧𝗜𝗡𝗚 𝗦𝗘𝗥𝗩𝗜𝗖𝗘 𝗥𝗘𝗩𝗘𝗡𝗨𝗘 𝗧𝗢 $𝗕𝗧𝗧

A new chapter for the BitTorrent ecosystem is taking shape.

Starting in Q3 2026, BitTorrent says revenue generated from its decentralized services will be used for BTT buybacks, with purchased tokens sent to a burn address.

The concept creates a direct economic loop:

More decentralized services
→ More usage
→ More revenue
→ More BTT buybacks
→ More BTT removed from circulation

The first major checkpoint will be the Q3 results and the planned October disclosure.

The important part is that the actual numbers will show how much economic activity the decentralized services are generating.

That makes the upcoming burn something worth watching closely.

#BitTorrent #TRONEcoStar #BTT #BTTInferGrid #TRON @BitTorrent_Official @Justin Sun孙宇晨
📈 机构级透明度:解读 BTT 季度回购链上报告 在去中心化协议中,财务透明度要求对资金流向与执行细节进行无死角的公开。BitTorrent 将于 2026 年 Q3 启动的回购计划,承诺将去中心化服务的 100% 营收用于季度回购,树立了行业透明度的新标杆。 每个季度回购完成后,官方都会发布详尽的链上报告。全球用户均可直接在区块链上查验业务收入细节、回购钱包地址以及对应的交易哈希。 这一坚实的商业模型支撑着庞大的应用规模:全球累计安装量达 583,486,588 次,周覆盖量达 41.25M,日均活跃用户达 8.73M。 此外,参与 BTT 质押可获最高 6.46% APY 收益, #BTTInferGrid 评分体系则时刻保障节点高效运行。欢迎加入官方社区了解详情! @BitTorrent_Official @JustinSun #TRONEcoStar
📈
机构级透明度:解读 BTT 季度回购链上报告

在去中心化协议中,财务透明度要求对资金流向与执行细节进行无死角的公开。BitTorrent 将于 2026 年 Q3 启动的回购计划,承诺将去中心化服务的 100% 营收用于季度回购,树立了行业透明度的新标杆。

每个季度回购完成后,官方都会发布详尽的链上报告。全球用户均可直接在区块链上查验业务收入细节、回购钱包地址以及对应的交易哈希。

这一坚实的商业模型支撑着庞大的应用规模:全球累计安装量达 583,486,588 次,周覆盖量达 41.25M,日均活跃用户达 8.73M。

此外,参与 BTT 质押可获最高 6.46% APY 收益,
#BTTInferGrid
评分体系则时刻保障节点高效运行。欢迎加入官方社区了解详情!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
桥接传统 P2P 基础设施与 WEB3 实用价值 从传统的 P2P 文件传输演进至 Web3 实用性去中心化服务,是分布式工程领域的重大创举。BitTorrent 将其传奇的 Torrent 架构与智能合约无缝结合,构建出极具扩展性的去中心化带宽与存储解决方案。 这一技术演化支撑着全球累计 583,486,588 次客户端安装量。uTorrent 桌面端以 4.44M 日活维持强劲动力,移动端覆盖 5.72M 用户,Web 端留存率 24%,全网周总覆盖量达 41.25M。 自 2026 年 Q3 起,去中心化服务产生的 100% 营收将专门用于 BTT 季度回购,并附带链上审计报告。 持币者还可参与质押锁定最高 6.46% 的 APY 收益,依托 #BTTInferGrid 实现高精度调度。立即加入官方社区交流! @BitTorrent_Official @JustinSun #TRONEcoStar
桥接传统 P2P 基础设施与 WEB3 实用价值

从传统的 P2P 文件传输演进至 Web3 实用性去中心化服务,是分布式工程领域的重大创举。BitTorrent 将其传奇的 Torrent 架构与智能合约无缝结合,构建出极具扩展性的去中心化带宽与存储解决方案。

这一技术演化支撑着全球累计 583,486,588 次客户端安装量。uTorrent 桌面端以 4.44M 日活维持强劲动力,移动端覆盖 5.72M 用户,Web 端留存率 24%,全网周总覆盖量达 41.25M。

自 2026 年 Q3 起,去中心化服务产生的 100% 营收将专门用于 BTT 季度回购,并附带链上审计报告。

持币者还可参与质押锁定最高 6.46% 的 APY 收益,依托 #BTTInferGrid 实现高精度调度。立即加入官方社区交流!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
移动端强劲表现:UTORRENT ANDROID 覆盖 5.72M 用户 随着移动设备成为全球用户接入去中心化服务的主要终端,移动端的运营指标构成了观察网络扩展的重要视角。uTorrent Android 版展现出强劲的表现,总覆盖量已冲上 5.72M。 移动端的优异表现与桌面端及 Web 端形成了有力互补。uTorrent 桌面端日活达 4.44M,BitTorrent Web 留存率达 24%,推动全网周总覆盖量达到 41.25M,日均活跃用户保持在 8.73M 的高位。 这些活跃指标共同推动全球累计安装量冲上 583,486,588 次。自 2026 年 Q3 起,去中心化服务 100% 的营收将用于季度回购 BTT 并发布链上报告。 配合最高 6.46% APY 的 BTT 质押回报与 #BTTInferGrid 精准评分,生态活力全面释放。欢迎加入官方社区! @BitTorrent_Official @JustinSun #TRONEcoStar
移动端强劲表现:UTORRENT ANDROID 覆盖 5.72M 用户

随着移动设备成为全球用户接入去中心化服务的主要终端,移动端的运营指标构成了观察网络扩展的重要视角。uTorrent Android 版展现出强劲的表现,总覆盖量已冲上 5.72M。

移动端的优异表现与桌面端及 Web 端形成了有力互补。uTorrent 桌面端日活达 4.44M,BitTorrent Web 留存率达 24%,推动全网周总覆盖量达到 41.25M,日均活跃用户保持在 8.73M 的高位。

这些活跃指标共同推动全球累计安装量冲上 583,486,588 次。自 2026 年 Q3 起,去中心化服务 100% 的营收将用于季度回购 BTT 并发布链上报告。

配合最高 6.46% APY 的 BTT 质押回报与 #BTTInferGrid 精准评分,生态活力全面释放。欢迎加入官方社区!

@BitTorrent_Official @Justin Sun孙宇晨 #TRONEcoStar
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