阿里云AI全栈架构深度解析:从基础设施到通义大模型创新
Alibaba Cloud AI offers a comprehensive, enterprise-grade AI stack covering infrastructure (IaaS), platform (PaaS), and model services (MaaS). It features leading models like Qwen, Tongyi Wanxiang, and Lingma, with optimized training and inference capabilities. The platform provides end-to-end solutions from data preparation to deployment, supporting seamless integration and high-performance AI development for businesses. (阿里云AI提供全面的企业级AI全栈能力,涵盖基础设施、平台和模型服务。其通义大模型系列引领创新,具备优化的训练和推理性能。平台提供从数据准备到部署的端到端解决方案,支持无缝集成和高性能AI开发,助力企业构建智能应用。)
引言
阿里云 AI 是阿里云提供的全栈人工智能能力集合,涵盖百炼大模型服务平台,人工智能平台 PAI 以及视觉、语音、NLP 等 AI 服务与解决方案。
Alibaba Cloud AI is a comprehensive, full-stack suite of artificial intelligence capabilities provided by Alibaba Cloud. It encompasses the Bailian large model service platform, the AI Platform PAI, as well as various AI services and solutions for vision, speech, NLP, and more.
领先的大模型技术通义大模型系列阿里云领先的大模型技术集合,包括Qwen(通义千问)、Tongyi Wanxiang(通义万象)、Lingma(灵码)等模型。(Qwen, Tongyi Wanxiang, Lingma等)引领创新。
Leading large model technologies, such as the Tongyi model series (Qwen, Tongyi Wanxiang, Lingma, etc.), drive innovation.
核心架构与产品矩阵
企业级全栈 AI 能力
从底层算力、人工智能平台到大模型平台,提供企业级能力,覆盖 AI 全栈。
It provides enterprise-grade capabilities covering the entire AI stack, from underlying computing power and AI platforms to large model platforms.
易用与集成简单易用的 API、SDK、工具链,无缝集成阿里云生态。
Featuring easy-to-use APIs, SDKs, and toolchains for seamless integration into the Alibaba Cloud ecosystem.
大模型服务:百炼 (MaaS)
阿里云百炼全新上线 Qwen-Image 通义千问首个图像生成模型。
Alibaba Cloud Bailian has newly launched Qwen-Image, the first image generation model in the Tongyi Qianwen series.
大模型服务平台专为希望快速、安全、低成本应用和构建大模型的企业而设计。
The large model service platform is designed for enterprises seeking to rapidly, securely, and cost-effectively apply and build large models.
人工智能平台:PAI (PaaS)
人工智能平台 PAI 是阿里云企业级 AI 开发平台,提供从数据准备、AI 模型开发、模型训练到服务部署的全链路产品能力。
AI Platform PAI is Alibaba Cloud's enterprise-grade AI development platform, offering end-to-end product capabilities from data preparation and AI model development to model training and service deployment.
阿里云人工智能平台面向企业和开发者,完整覆盖 AI 标注、开发、训练、推理一体化全链路,具备丰富的行业场景插件,为用户提供高可用、低门槛、高性能的云原生 AI 工程化能力。
Alibaba Cloud AI Platform serves enterprises and developers, comprehensively covering the integrated full pipeline of AI annotation, development, training, and inference. Equipped with rich industry-specific plugins, it provides users with highly available, low-barrier, high-performance cloud-native AI engineering capabilities.
AI 开发全链路打通
从数据准备、模型训练到服务部署的全链路,提供 Qwen、DeepSeek 等海量开源模型的一键训练、部署和评测能力,同时支持 PAI 自研、开源训练推理优化框架。
It streamlines the entire pipeline from data preparation and model training to service deployment. It offers one-click training, deployment, and evaluation capabilities for a vast array of open-source models like Qwen and DeepSeek, while also supporting PAI's self-developed and open-source training and inference optimization frameworks.
训练性能卓越
模型后训练阶段,支持 RLHF、DPO、GRPO 等先进训练算法,万卡规模 MoE 架构训练 MFU 达 35%-40%,强化学习训练效率提升 200%。
In the model post-training phase, it supports advanced training algorithms such as RLHF, DPO, and GRPO. Training of MoE architectures at a ten-thousand-card scale achieves an MFU of 35%-40%, with reinforcement learning training efficiency improved by 200%.
推理效率提升
分布式推理能力,通过创新的多机 Prefill-Decode-EP 分离架构,结合 LLM 智能路由和 MoE 分布式推理调度引擎 Llumnix阿里云的MoE分布式推理调度引擎,结合智能路由技术,显著提升大模型推理速度和资源利用率。,能显著提升推理速度和资源利用率,首 Token 生成响应时间降低92%,端到端服务吞吐提升500%。
Its distributed inference capabilities, leveraging an innovative multi-machine Prefill-Decode-EP separation architecture combined with LLM intelligent routing and the MoE distributed inference scheduling engine Llumnix阿里云的MoE分布式推理调度引擎,结合智能路由技术,显著提升大模型推理速度和资源利用率。, significantly enhance inference speed and resource utilization. The time-to-first-token response is reduced by 92%, and end-to-end service throughput is increased by 500%.
AI 基础设施 (IaaS)
AI 时代的 GPU 云服务器深度优化的 GPU 算力为模型推理、图形处理提供更强性能支持。
GPU cloud servers for the AI era provide deeply optimized GPU computing power, delivering stronger performance support for model inference and graphics processing.
高效、经济的 GPU 算力丰富的 GPU 实例规格,满足从实验到大规模训练的各种需求。
Efficient and economical GPU computing power with a rich selection of GPU instance specifications meets diverse needs, from experimentation to large-scale training.
数据基石 (Data Foundation)
阿里云大数据系列产品提供完整的数据工具链,从数据存储、处理到向量检索,为 AI 模型提供高质量数据处理能力。
Alibaba Cloud's big data product series provides a complete data toolchain, from data storage and processing to vector search, delivering high-quality data processing capabilities for AI models.
阿里云大数据计算从数据存储、离线/实时处理、到向量检索,阿里云提供完整的数据工具链,无缝对接人工智能平台 PAI ,加速数据到价值的转化。
Alibaba Cloud Big Data Computing offers a complete data toolchain from data storage, offline/real-time processing, to vector search. It seamlessly integrates with AI Platform PAI, accelerating the transformation from data to value.
开发者生态与解决方案
开发者生态与社区
携手百万开发者,共建开放、活跃的 AI 创新生态。
Collaborating with millions of developers to build an open and vibrant AI innovation ecosystem.
AI 解决方案与案例
简单易用的 AI 技术解决方案,方便客户在云上建立 AI 能力和应用。
Easy-to-use AI technology solutions that enable customers to build AI capabilities and applications on the cloud.
实践案例:部署 Qwen3 全尺寸模型
方案优势
- 零代码一键部署 (Zero-code, one-click deployment)
- 自动适配云资源 (Automatic adaptation of cloud resources)
- 全流程运维托管 (Full-process O&M hosting)
- 企业级安全 数据不出域 (Enterprise-grade security with data staying within the domain)
方案介绍
阿里云 PAI-ModelGallery阿里云PAI平台的模型库,支持最新Qwen3等全尺寸模型的快速部署与微调。 支持最新发布的 Qwen3全尺寸模型的部署,包括 2个尺寸的 MoE 模型(235B、30B)和6个尺寸的 Dense 模型(32B、14B、8B、4B、1.7B、0.6B),欢迎使用。
Alibaba Cloud PAI-ModelGallery阿里云PAI平台的模型库,支持最新Qwen3等全尺寸模型的快速部署与微调。 supports the deployment of the newly released full-size Qwen3 models, including 2 sizes of MoE models (235B, 30B) and 6 sizes of Dense models (32B, 14B, 8B, 4B, 1.7B, 0.6B). Welcome to use them.
10分钟微调:让0.6B模型媲美235B模型
通过高效的微调技术,用户可以在短时间内让小参数模型在特定任务上达到与大模型相媲美的性能,极大降低了AI应用的门槛和成本。
10-Minute Fine-Tuning: Enabling a 0.6B Model to Rival a 235B Model
Through efficient fine-tuning techniques, users can enable small-parameter models to achieve performance comparable to large models on specific tasks in a short time, significantly lowering the barrier and cost of AI application.
立即体验
免费试用我们的产品,并咨询客户经理。
Try our products for free and consult with a customer manager.
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