Depins：轉化AI模型培訓的分散的GPU網絡

科技企業想要什麼？ GPU計算。他們什麼時候想要的？現在。他們想要多少？你得到的一切。他們願意付多少錢？

Tech companies are increasingly turning away from centralized cloud providers in favor of decentralized AI and web3 networks that can meet their needs. They’re not doing it for the decentralization – they're doing it for the significant cost savings it can yield.

科技公司越來越多地擺脫集中式雲提供商，轉而支持分散的AI和Web3網絡，這些網絡可以滿足其需求。他們不是為了權力下放而進行的 - 他們是為了節省大量成本而進行的。

Traditional cloud providers like AWS and Google Cloud still dominate the market, but their market share is being nibbled away at by decentralized GPU networks (DePINs).

像AWS和Google Cloud這樣的傳統雲提供商仍在市場上占主導地位，但是它們的市場份額被分散的GPU網絡（DEXINS）拒之門外。

These DePINs are transforming how AI models are trained by delivering on-demand compute with the following five leading the charge.

這些depins正在通過交付按需計算以以下五個領導電荷來改變AI模型的訓練。

1. Render Network

1。渲染網絡

One of the most notable players in the space is Render Network, originally designed for decentralized GPU rendering but now expanding into AI compute. Render Network has built a mature ecosystem, connecting thousands of GPU providers with artists, developers, and data scientists. Its existing pay-as-you-go model, powered by the RENDER token, makes GPU access seamless and affordable.

該空間中最著名的玩家之一是渲染網絡，該網絡最初是為分散的GPU渲染而設計的，但現在擴展到AI Compute。渲染網絡已經建立了一個成熟的生態系統，將成千上萬的GPU提供商與藝術家，開發人員和數據科學家聯繫起來。由渲染令牌提供支持的現有付款方式，使GPU訪問無縫且負擔得起。

The network is actively expanding its capabilities to support AI inference and model training, and is betting big on AI agents – a major web3 growth area where it’s eager to provide the GPUs these autonomous bots require. Recent announcements emphasize AI resource allocation and developer-friendly APIs, indicating a deeper push into onchain AI compute.

該網絡正在積極擴展其支持AI推理和模型培訓的能力，並在AI代理上大放異彩 - AI代理 - 一個主要的Web3增長領域，它渴望提供這些自動機器人所需的GPU。最近的公告強調了AI資源分配和對開發人員友好的API，這表明更深入地推進了OnChain AI Compute。

2. io.net

2。io.net

One of the best known DePINS operating in the space, io.net aggregates GPU power from data centers and individual contributors across 130 countries to create an on-demand decentralized GPU cloud. io.net significantly reduces costs, offering AI compute at 90% less per TFLOP than centralized alternatives, while ensuring rapid deployment of high-performance clusters, including NVIDIA H100s, in under two minutes.

IO.NET是該空間中運營的最著名的Depins之一，它來自數據中心和130個國家 /地區的個人貢獻者的GPU功率，以創建一個按需分散的GPU雲。 IO.NET大大降低了成本，每TFLOP的AI計算比集中式替代方案降低了90％，同時確保在不到兩分鐘內快速部署了包括NVIDIA H100的高性能群集。

The platform leverages Solana’s blockchain to provide transparent transactions and features a unique Proof of Time-Lock mechanism that guarantees dedicated GPU resources. With growing enterprise adoption, expanded hardware support for models like 4090s, A100s, and H100s, and a scalable cluster rental system, io.net has become a leading choice for AI-powered organizations seeking high-performance compute.

該平台利用Solana的區塊鏈提供透明的交易，並具有獨特的時鎖機制證明，可以保證專用的GPU資源。隨著企業採用的不斷增長，對4090，A100和H100等型號的擴展硬件支持以及可擴展的集群租賃系統，io.net已成為尋求高性能計算的AI驅動組織的領先選擇。

3. Hypercycle

3。超循環

For developers seeking web3-native AI inference, Hypercycle is the DePIN they fire up. Unlike traditional decentralized GPU platforms that focus on raw compute power, Hypercycle specializes in AI model inference, allowing dapps to execute machine learning tasks without centralized bottlenecks. The protocol integrates micro-payments for inference tasks, ensuring a seamless and cost-effective billing structure. Hypercycle’s architecture is optimized for low-latency AI execution, making it a valuable resource for real-time applications.

對於尋求Web3本地AI推理的開發人員而言，HyperCrecle是他們啟動的DEPIN。與關注原始計算功率的傳統分散的GPU平台不同，HyperCycle專門研究AI模型推斷，允許DAPP執行機器學習任務而無需集中瓶頸。該協議集成了用於推理任務的微付款，從而確保了無縫且具有成本效益的計費結構。 Hypercycle的體系結構已針對低延遲AI執行進行了優化，這使其成為實時應用程序的寶貴資源。

Hypercycle is actively forging partnerships with AI-driven dapps and continues to refine its layered AI solutions to enhance speed and efficiency. Like several of the other companies profiled here, Hypercycle is long AI agents and believes it can capture significant market share here.

Hypercycle正在積極建立與AI驅動DAPP的合作夥伴關係，並繼續完善其分層AI解決方案以提高速度和效率。像其他幾家公司一樣，Hypercycle是很長的AI代理商，並認為它可以在這裡佔據很大的市場份額。

4. Akash Network

4。Akash網絡

Akash Network serves as a decentralized cloud marketplace catering to a blend of AI and web3 developers. Its auction-based pricing model ensures that developers get access to computing resources at competitive rates, while its decentralized matching system allows for instant provisioning of GPU instances. Akash has steadily expanded its support for AI training and inference workloads, onboarding new infrastructure providers to meet the growing demands of decentralized applications and machine learning research.

Akash網絡是一個分散的雲市場，可滿足AI和Web3開發人員的融合。其基於拍賣的定價模型可確保開發人員以有競爭力的速度訪問計算資源，而其去中心化匹配系統可以立即提供GPU實例。阿卡什（Akash）穩步擴大了對AI培訓和推理工作量的支持，攻入新的基礎設施提供商，以滿足分散應用程序和機器學習研究的不斷增長的需求。

Its commitment to creating a truly open and developer-friendly cloud infrastructure has made Akash an attractive alternative to traditional centralized providers. Ongoing integrations with AI frameworks have extended Akash’s capabilities beyond general-purpose workloads into specialized GPU-driven tasks for machine learning. Its 2025 roadmap reveals where Akash is headed next with plenty of new products poised to be rolled out.

它致力於創建真正開放且開發的雲基礎架構，使Akash成為傳統集中提供商的有吸引力的替代品。與AI框架進行的持續集成已將Akash的功能擴展到通用工作負載之外，以用於機器學習的專用GPU驅動任務。它的2025年路線圖揭示了阿卡什（Akash）接下來的前進，許多新產品準備推出。

5. Gensyn

5。聚會

Another rising star in the decentralized AI compute space is Gensyn, a blockchain-powered solution designed to facilitate large-scale ML workloads. Unlike other decentralized GPU providers, Gensyn operates on a Proof-of-Compute mechanism that ensures verifiable contributions to AI training tasks. By tokenizing AI compute incentives, Gensyn makes high-performance AI training accessible to organizations of all sizes, democratizing machine learning infrastructure.

分散的AI計算空間中的另一個後起之圖是Gensyn，這是一種旨在促進大規模ML工作負載的區塊鏈供電的解決方案。與其他分散的GPU提供商不同，Gensyn採用了驗證機制，可確保對AI培訓任務的可驗證貢獻。通過對AI的計算激勵措施，Gensyn使各種規模的組織可以訪問高性能的AI培訓，從而使機器學習基礎設施民主化。

The company has gained significant industry recognition, securing funding from venture capital giant a16z, which has accelerated its development. Recent pilot projects have demonstrated its potential for decentralized AI model training, and ongoing infrastructure upgrades are enhancing its ability to support large-scale compute operations. Gensyn doesn’t currently have a token but one is on the way, making this a DePIN to watch.

該公司獲得了重要的行業認可，並從風險投資巨頭A16Z獲得資金，這加速了其發展。最近的試點項目已經證明了其進行分散的AI模型培訓的潛力，並且正在進行的基礎設施升級正在增強其支持大規模計算運營的能力。 Gensyn目前沒有令牌，但正在途中，這使它成為值得關注的depin。

Decentralized Compute Is Just Getting Started

分散的計算剛剛開始

With AI computational requirements escalating, decentralized platforms offer a compelling alternative to traditional cloud services. Whether it’s Render Network’s expansion into AI workloads, io.net’s rapid deployment of high-performance clusters, Hypercycle’s real-time AI inference, Akash Network’s permissionless cloud compute, or Gensyn’s blockchain-based AI training framework, decentralized GPU compute is allowing AI innovation to flourish.

隨著AI計算要求不斷升級，分散平台為傳統雲服務提供了令人信服的替代方案。無論是渲染網絡的擴展到AI工作負載，IO.NET快速部署了高性能群集，HyperCycle的實時AI推理，Akash Network的無許可云計算，還是Gensyn的基於區塊鏈的AI AI訓練框架，允許AI Innrovation允許AI Innrovation允許AI Innovation允許繁榮。