Lenovo has announced new data storage, virtualization infrastructure, and data management services aimed at helping enterprises and mid-sized businesses modernize IT environments for enterprise applications and AI-related workloads. The announcement includes new ThinkSystem storage arrays, ThinkAgile hyperconverged infrastructure (HCI) platforms, and expanded hybrid cloud advisory and deployment services.
New Lenovo ThinkSystem & ThinkAgile Offerings
The new ThinkSystem DS Series storage arrays provide all-flash storage designed for virtualized environments running mission-critical workloads, with simplified deployment and management for virtualized enviroments. The ThinkAgile FX Series introduces a multi-vendor hyperconverged infrastructure (HCI) appliance that supports hardware reuse across selected platforms to provide greater flexibility and investment protection.
Lenovo has also expanded the ThinkAgile MX Series to support disaggregated external Fibre Channel storage for Microsoft Azure Local deployments and introduced configurations with integrated GPU support for AI inferencing workloads. In addition, the ThinkAgile HX Series incorporates software designed to support the deployment and scaling of AI models in virtualized and containerized environments.
In parallel, Lenovo has expanded its hybrid cloud and data lifecycle services, including deployment, migration, and storage support offerings. These services, including but not limited to Lenovo Deployment Services for ThinkAgile and ThinkSystem, Hybrid Cloud Advisory Services, and Migration Services are intended to accelerate infrastructure rollout, improve system reliability, and help organizations align on-premises and hybrid environments with compliance, data protection, and operational requirements while supporting AI and hybrid cloud initiatives.
Lenovo noted that many organizations face challenges preparing data environments for AI due to legacy storage systems and changing virtualization and containerization needs. 80% of enterprise storage deployed in recent years relies on hard drive-based systems that are not optimized for data-intensive workloads, and per Gartner, 63% of organizations do not have or are unsure if they have the correct data management practices for AI use.
Pokdepinion: That’s a surprisingly big number of servers relying on HDDs.
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