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Huawei said the rapid growth of AI applications and agent-based systems is increasing demand for new infrastructure architectures capable of handling large-scale token generation, multimodal datasets, and distributed AI workloads
In sum – what to know:
AI data lakes – Huawei introduced high-density storage and unified data management technologies aimed at supporting large-scale AI workloads and multimodal datasets.
Inference infrastructure – The company unveiled new platforms for inference acceleration, memory management and resource scheduling designed for large AI clusters.
Data center focus – Huawei positioned AI-ready infrastructure, including storage, caching, orchestration and resilience, as central to enterprise AI deployment strategies.
Huawei has introduced a new AI data center infrastructure portfolio focused on storage, inference acceleration, data management, and resilience, as enterprises scale AI workloads and hyperscale compute environments.
The company unveiled the technologies during its Innovative Data Infrastructure Forum 2026 in Paris, where Yuan Yuan, vice president of Huawei and President of the Huawei Data Storage Product Line, outlined the vendor’s approach to AI-oriented data center infrastructure.
Huawei said the rapid growth of AI applications and agent-based systems is increasing demand for new infrastructure architectures capable of handling large-scale token generation, multimodal datasets, and distributed AI workloads.
The company’s approach centers on several infrastructure layers, including AI data lakes, knowledge and memory platforms, model engineering, compute resource scheduling, and data protection.
As part of the announcement, Huawei introduced updates to its OceanStor Pacific scale-out storage platform, which the company said can deliver 11 PB of capacity in a 2U footprint. Huawei also highlighted its DME Omni-Dataverse platform, designed to support multimodal and cross-site data management for AI environments.
The vendor also focused heavily on inference infrastructure, an area becoming increasingly important as enterprises shift from AI model training toward production inference workloads.
Huawei introduced what it described as a Context Memory Storage (CMS) system for ultra-scale inference clusters. According to the company, the platform supports shared key-value cache pools and is designed to reduce time to first token latency.
The company also launched a “3+1 AI data platform” integrating cache acceleration, knowledge base retrieval and memory management technologies intended to improve inference efficiency and accuracy in enterprise AI deployments.
Beyond storage and inference, Huawei emphasized compute orchestration and resource utilization inside AI data centers.
Its ModelEngine platform includes model deployment and orchestration capabilities intended to simplify integration of AI models into enterprise environments. Huawei said the platform supports fine-grained compute partitioning and intelligent scheduling to improve accelerator utilization across AI workloads.
Huawei also introduced its Nexent agent platform, which the company said enables natural language-based agent generation and automated optimization of prompts, skills and memory functions.
Another major focus was data protection and operational resilience in AI environments. Huawei said enterprises deploying AI systems must address risks including ransomware, data poisoning, tampering and misuse of AI tools through end-to-end protection frameworks spanning infrastructure, models and applications.
Huawei also recently announced a new semiconductor development approach called the Tau (τ) Scaling Law, which the company says is designed to improve chip performance, transistor density and system efficiency as traditional Moore’s Law scaling slows. The announcement complements Huawei’s broader AI infrastructure strategy by focusing on the compute and semiconductor technologies needed to support increasingly large AI workloads and hyperscale AI systems.
The Tau (τ) Scaling Law was announced at the 2026 IEEE International Symposium on Circuits and Systems in Shanghai by He Tingbo, President of HUAWEI’s semiconductor business department. The Tau Scaling Law is also referred to as “Her’s Law” named after He Tingbo by peers and her colleagues.
