For uninterrupted computing services
The article examines the evolving demands of AI‑driven data‑center servers, the limitations of traditional BMC chips, and how Alibaba Cloud’s self‑designed CMU610 chip combined with a Zephyr‑based OpenBMC firmware delivers a highly integrated, cost‑effective solution that reshapes server management.
The article explains how Alibaba Cloud’s OS console implements a one‑click IO diagnostic that automatically detects, classifies, and resolves high‑latency, burst, and iowait IO issues in multi‑tenant cloud environments by using dynamic thresholds, periodic metric collection, and targeted root‑cause analysis.
Koordinator v1.7.0, the open‑source Kubernetes scheduler, adds network‑topology‑aware scheduling, job‑level preemption, and support for Ascend NPU and Cambricon MLU, delivering unified heterogeneous device management, enhanced GPU sharing, comprehensive API documentation, and best‑practice guides to improve large‑scale AI training efficiency and cluster operations.
At the 4th China IPv6 Innovation Development Conference, Alibaba Cloud showcased its rapid IPv6 deployment—boosting IDC traffic share from 12% to 40%, expanding cloud product support to 97%, and leveraging IPv6/SRv6 to meet AI large‑model network demands, while sharing best practices across industry and government partners.
ACK One Fleet, Alibaba Cloud's enterprise multi‑cluster solution, provides inventory‑aware elastic GPU scheduling, cross‑region resource sharing, multi‑cluster HPA and model distribution, allowing AI inference and training workloads to scale efficiently, reduce costs, and maximize GPU utilization.
Alibaba Cloud’s container experts unveiled a comprehensive, AI‑focused upgrade across its cloud‑native stack—introducing AMD compute, dynamic scaling, AI‑native scheduling, secure execution environments, and advanced GPU profiling—to make containers the native foundation for AI workloads and accelerate enterprise AI adoption.
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.
