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Lenovo Launches Storage Network Systems and Services for AI Data Center Readiness



Lenovo recently introduced data storage systems, virtualization solutions and data management services to enable companies to update and upgrade their storage network infrastructure, as well as to build their own AI data centers.


To this end, Lenovo has introduced Lenovo ThinkSystem and Lenovo ThinkAgile systems for scaling storage systems depending on the needs of the company. These components include:


Lenovo ThinkSystem DS Series Storage Arrays – Storage Area Network storage systems consisting of flash storage that is easy to deploy and manage for virtual environments, improving performance and efficiency in managing and accessing company data

Lenovo ThinkAgile FX Series – It is a Hyperconverged Infrastructure (HCI) system that combines the power of computing, networking, storage and data management and instruction set in a single computer to make it easier for company IT to build a comprehensive data infrastructure quickly and easily.

Lenovo ThinkAgile MX Series for disaggregated storage for Microsoft Azure Local – A purpose-built HCI system for companies looking to build an internal data center using the Microsoft Azure cloud computing platform.

Lenovo ThinkAgile MX Series with NVIDIA RTX Pro 6000 – Adds support for NVIDIA RTX Pro 6000 graphics cards that add AI inference capabilities with Microsoft Azure Local HCI

Lenovo ThinkAgile HX Series for AI – An HCI system that adds support for the Nutanix Enterprise AI software stack for companies looking to quickly and easily build AI infrastructure and deploy their own AI models.

Lenovo also offers a range of open and closed cloud infrastructure and services for companies looking to modernize their internal and external IT infrastructure through their own hybrid cloud services.


Lenovo Hybrid Cloud Advisory Services is also ready to advise companies on which cloud and AI infrastructure is right for their company’s needs, ensuring that they are not only using the most appropriate hardware, but also facilitating future scaling when needed.

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