ParallelAI (PAI) 不仅仅是一个AI项目，它更像一把“瑞士军刀”，旨在通过代码自动并行化，将AI开发者的计算效率提升至高达20倍！
查看项目官方Twitter发布的推文
ParaHub laid the foundation by connecting decentralized compute. ParaGen builds the AI application layer on top. This isn’t just infrastructure, it’s the future of decentralized intelligence. Stay tuned. Major updates coming soon.
ParaHub通过连接去中心化计算奠定了基础。ParaGen在其之上构建了AI应用层。这不仅仅是基础设施，更是去中心化智能的未来。敬请期待。重大更新即将到来。
How it works: - Upload your model (LLM, Vision, etc.) - Models stored securely with decentralized redundancy - Real-time auto-scaling compute allocation (thanks to ParaHub) - Pay-per-inference via verifiable smart contracts This is cloud native AI, rebuilt for Web3.
工作原理： - 上传您的模型（LLM、Vision等） - 模型通过去中心化冗余安全存储 - 实时自动扩展计算分配（感谢ParaHub） - 通过可验证的智能合约按推理付费 这是为Web3重建的云原生AI。
At its core, ParaGen lets developers and enterprises host AI models across a decentralized compute network. - No centralized bottlenecks - No lock-in to corporate cloud giants - Just pure, scalable inference secured by $PAI
ParaGen的核心是让开发者和企业在去中心化的计算网络上托管AI模型。 - 没有中心化的瓶颈 - 不受限于企业云巨头 - 只有纯粹、可扩展的推理，由$PAI保障
Introducing ParaGen, the next major leap for the ParallelAI ecosystem. A decentralized model hosting platform, designed for scalable, verifiable, and affordable AI deployment. Let's dive into what ParaGen is, and why it matters. $PAI
介绍ParaGen，这是ParallelAI生态系统的下一个重大飞跃。一个去中心化的模型托管平台，旨在实现可扩展、可验证且经济实惠的AI部署。让我们深入了解ParaGen是什么，以及它为何重要。$PAI
Your AI project shouldn’t have to choose between burning budget or compromising performance. ParaHub helps you run models across decentralized GPU networks like Akash, Netmind & Cudos, pay only for what you use. Simple, Scalable, Powerful. $PAI
你的AI项目不必在燃烧预算或妥协性能之间做出选择。ParaHub帮助你在去中心化GPU网络（如Akash、Netmind和Cudos）上运行模型，只需按使用量付费。简单、可扩展、强大。$PAI
ParaHub’s AI Compute Model: How It Works Under the Hood ParaHub is designed to be compute-efficient by leveraging a combination of: 🔹 Dynamic GPU Scaling: Instantly adjusts resource allocation based on job demand. 🔹 Multi-Provider Aggregation: Integrates decentralized compute providers to maximize availability. 🔹 Cost-Optimized Distribution: Allocates workloads to GPUs that offer the best pricing-performance ratio. When a user submits a job: 1️⃣ The system scans available GPU resources across Akash, Netmind, Aethir, https://t.co/6CU3lSDJf8, and other providers. 2️⃣ It selects the optimal GPU based on availability, cost, and workload requirements. 3️⃣ The job is executed, monitored, and scaled in real time, minimizing waste and maximizing efficiency. This adaptive infrastructure makes ParaHub the most flexible and cost-effective AI compute aggregator in the industry around.
ParaHub的AI计算模型：其工作原理 ParaHub通过以下组合设计为计算高效： 🔹 动态GPU扩展：根据任务需求即时调整资源分配。 🔹 多提供商聚合：整合去中心化计算提供商以最大化可用性。 🔹 成本优化分配：将工作负载分配给提供最佳性价比的GPU。 当用户提交任务时： 1️⃣ 系统扫描Akash、Netmind、Aethir、https://t.co/6CU3lSDJf8和其他提供商上的可用GPU资源。 2️⃣ 根据可用性、成本和工作负载需求选择最佳GPU。 3️⃣ 任务被执行、监控和实时扩展，最大限度地减少浪费并提高效率。 这种自适应基础设施使ParaHub成为行业内最灵活且最具成本效益的AI计算聚合器。
@ParallelAIx This is a major step toward full-stack decentralized AI. Excited to see how ParaGen can help power healthcare-grade AI at scale.
@ParallelAIx 这是朝着全栈去中心化人工智能迈出的重要一步。很高兴看到ParaGen如何帮助大规模提供医疗级人工智能。
@ParallelAIx We can't wait to experience ParaHub's decentralized AI compute! 🚀
我们迫不及待地想要体验ParaHub的去中心化AI计算！🚀
We’re excited to welcome @CryptifyAI to the ParallelAI Foundation Grant! Through the grant, $CRAI will receive allocated $PAI tokens to access ParaHub’s decentralized AI compute, allowing them to scale their operations without worrying about infrastructure costs. This… https://t.co/OxMn7cXD0W
我们很高兴欢迎@CryptifyAI加入ParallelAI基金会资助计划！通过该资助，$CRAI将获得分配的$PAI代币，以访问ParaHub的去中心化AI计算资源，使他们能够扩展业务而无需担心基础设施成本。此… https://t.co/OxMn7cXD0W