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Huawei Cloud Rolls Out Enterprise AI Products Across the Board, Building an Open Agentic Cloud

PARTNER CONTENT: Huawei Cloud strengthens the silicon bedrock on the cloud

Huawei Cloud Rolls Out Enterprise AI Products Across the Board, Building an Open Agentic Cloud

Shanghai, China, September 18, 2026 - Huawei Cloud announced the global rollout of advanced AI products to bolster its Agentic Cloud strategy at HUAWEI CONNECT 2026.

The company unveiled the AI Cluster Service (AICS), a key component in Huawei Cloud's plan to enhance its cloud foundation and support agentic AI. Additionally, the Agentic Model as a Service (MaaS) platform was introduced to consolidate various models, accelerating model capabilities as services on a large scale.

Over 100 enterprises are already utilizing AgentArts, an enterprise-grade agent platform. The Industry AI Foundry has amassed more than 1,000 industry assets, with 1,000 projects already deployed. Two new zones, Smart Government Zone and AI Hardware Zone, have been added to the Industry AI Foundry to foster large-scale agent adoption.

Dr. Peter Zhou, Huawei Cloud's CEO, emphasized that in the era of agentic AI, infrastructure is now focused on optimizing token efficiency, coordinating compute, enabling continuous model learning, and securely running agents in real-world production environments. Agentic Infra, a new paradigm defined by Huawei Cloud, focuses on efficient tokenization, enhanced memory, unified general and AI scheduling, and secure autonomy, with the latest AICS serving over 3,500 customers.

The AICS boasts a five-level fast recovery mechanism with full-chain observability, supporting over 40 days of stable training on the cloud and fault recovery within 10 minutes. The Context Memory Storage (CMS) solution addresses the memory needs of long-horizon agent tasks, offering a petabyte-scale memory space and twice the storage capacity of comparable industry products, with 50% higher performance for high-speed terabyte-scale memory reads.

Written by urgent.news from The Register Science's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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