For uninterrupted computing services
The article outlines how Alibaba Cloud’s container service has evolved to support large‑scale GPU clusters, AI data pipelines, and the new AI Serving Stack, enabling enterprises to deploy, scale, and manage LLM inference services efficiently while addressing Day0‑Day2 challenges.
The article reviews Alibaba Cloud's container service advancements, highlights AI-driven trends such as intelligent agents reshaping applications, the migration of AI infrastructure to cloud‑native platforms, and showcases four customer case studies demonstrating massive efficiency gains and the emergence of containers as the operating system for the AI era.
This article explains how Apache RocketMQ’s new semantic Topic and Lite‑Topic features enable dynamic ability discovery, asynchronous communication, and closed‑loop task coordination for multi‑agent AI systems, outlining communication patterns, subscription management, and an event‑driven model that bridges AI autonomy with reliable backend messaging.
This article details how Guotai Insurance tackled the high latency and cost of large‑model inference by deploying Alibaba Cloud's ACK Inference Gateway, which uses load‑aware, prefix‑aware routing, intelligent queuing, and comprehensive observability to boost efficiency threefold while reducing expenses.
Amid rapid cloud and AI growth, Alibaba Cloud unveiled its self‑designed PRoT810 security chip and AliPRoT module, establishing a hardware‑level platform root of trust that delivers layered, proactive defense for data‑center servers against firmware tampering, supply‑chain attacks, and operational risks.
At ECOC 2025 in Copenhagen, Alibaba Cloud showcased groundbreaking research that pushed VCSEL transmission over multimode fiber to 500 meters, explored hollow‑core fiber challenges such as CO₂ absorption, and promoted 800ZR coherent modules for data‑center interconnect, highlighting AI‑driven optical networking advances.
The 2025 Alibaba Cloud Yi Conference in Hangzhou showcased the AI Infra Predictable Network forum, unveiling next‑generation high‑performance networking architectures and ecosystem collaborations that are reshaping AI infrastructure for large‑model training and inference.
At the 2025 Cloud Expo in Hangzhou, leading experts including Academician Wu Hequan presented new developments in DNS and IPv6, unveiling Alibaba Cloud’s DNS product suite, whitepapers, and the Zhejiang Province IPv6 and Next‑Generation Internet Innovation Lab’s latest research, highlighting the role of resilient internet infrastructure in the AI era.
The UPN512 whitepaper details Alibaba Cloud's next‑generation AI infrastructure network, explaining the shift from dense to MoE models, the rise of train‑and‑inference integration, xPU scale‑up challenges, and how high‑radix Ethernet with LPO/NPO optical interconnects delivers ultra‑high bandwidth, low latency, cost‑effective, and reliable large‑scale AI compute clusters.
In cloud‑native clusters, resource over‑commit and mixed deployments cause kernel‑level delays such as memory‑reclaim and CPU scheduling latency, which propagate to applications as jitter; this article explains how to visualize, diagnose, and mitigate these issues using the ACK‑SysOM exporter and related monitoring dashboards.
