PAI-Lingjun
A comprehensive AI computing platform for high-performance computing tasks, such as large language model (LLM) training.
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The fully-managed scalable parallel file system can meet your requirements on high-performance computing.
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Introduction:
Recently, Gartner® released its Magic Quadrant™ for Cloud AI Infrastructure—Gartner's first Magic Quadrant report in the AI infrastructure domain. Alibaba Cloud was named a "Leader".
Cloud AI infrastructure refers to cloud services optimized specifically for AI workloads, encompassing AI-accelerated computing clusters, high-performance storage, data processing and preparation, AI/ML library integration, model training platforms, inference engines, model API services, and operations and governance tools.
Alibaba Cloud offers a comprehensive suite of cloud AI infrastructure services, including native high-performance infrastructure, professional development platforms, and pre-trained foundation models. PAI-Lingjun, a professional computing platform, is purpose-built for large-scale training and inference workloads. Built on a heterogeneous computing infrastructure and validated by Alibaba Group's own advanced AI workloads, it delivers efficient, low-latency performance for organizations with demanding AI applications, meeting critical requirements for scaling model training and high-speed inference.
Intelligent Computing Lingjun is Alibaba Cloud's public cloud AI computing service, designed end-to-end based on multi-level affinity clusters. As the unified computing foundation for Alibaba Cloud's AI services, it provides an out-of-the-box innovation platform for scenarios such as large models, autonomous driving, embodied intelligence, and AI for Science. Lingjun supports the interconnection of up to 130,000 GPUs within a single cluster, with scalability to the million-GPU level. It employs an HPN high-performance network architecture and is compatible with mainstream deep learning frameworks. Leveraging task-parallel strategies and self-healing designs integrated with cloud products, it achieves a fault detection rate of over 98% and minute-level recovery, with effective training time accounting for over 99% in trillion-parameter MoE Qwen large model training tasks. Over the past year, Lingjun clusters have launched in multiple overseas regions, supporting more than 50% of China's leading foundation model companies and 80% of its technology enterprises.
Source: Gartner, Magic Quadrant for Cloud AI Infrastructure, 6 July 2026
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