Lenovo Upgrades Inspur Wanquan Intelligent Computing Platform 4.0, Partners with Intel Xeon 6 to Bet on AI Localized Deployment

Phoenix Technology News, March 20 — As intelligent agents like OpenClaw raise concerns among enterprises about data sovereignty and Token costs, Lenovo held an Innovation Experience Day on March 19, focusing on local AI deployment. The event showcased the computing infrastructure built on the Wanquan Heterogeneous Intelligent Computing Platform and Intel Xeon 6 servers. In response to the strong demand from enterprises to shift from cloud to local deployment, Lenovo launched the “One Horizontal, Four Vertical” strategy, aiming to transform large models into controllable commercial productivity tools.

At the core computing resource scheduling level, Lenovo’s Wanquan Heterogeneous Intelligent Computing Platform 4.0 has upgraded four major scenarios: pre-training, post-training, inference, and super-intelligent fusion computing. The platform manages dozens of xPU and CPU optimized heterogeneous computing resources collaboratively. Currently, it manages over 800 nodes in leading manufacturing clusters, supporting the development of nearly 20 vertical domain models and the deployment of hundreds of intelligent agent applications.

In terms of hardware infrastructure, Lenovo announced the Tianyan and ThinkSystem servers equipped with Intel Xeon 6 processors. The new devices adopt a “1+3+N” architecture compatible with multiple platform chips and incorporate Sea God liquid cooling and multi-ZONE layout technology to control high-load energy consumption. In data storage, its NetApp AFX all-flash system achieves a throughput of 457 GiB/s, combined with the AIDE engine and LiSA intelligent agents, resulting in an 80% increase in quality inspection efficiency and a 30% reduction in storage costs in manufacturing and financial projects.

To meet the high concurrency network requirements of large model applications, Lenovo launched the Tianyan NE8770-64QC 400G switch, which, with its ENLB end-to-end collaboration scheme, improves bandwidth utilization by 21%. Additionally, Lenovo’s DCM operations management platform introduces an AI operations assistant, utilizing health status prediction models and full-link traceability to accurately identify high-usage processes, further lowering the unified operation and maintenance threshold in hybrid computing environments.

(Editors: Wang Zhiqiang HF013)

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