The main transformation in datacentres is based in the need for companies to adjust their data infrastructure to meet increasingly complex requirements. Organisations are mixing cloud, edge, and on-premise computing in hybrid environments, and focusing on the demands of specific workloads.
This means it is important that their data infrastructure has the flexibility to scale to meet their needs, to move workloads to the right platform, seamlessly integrate across platforms and reduce the complexity of managing a diverse environment.
Transformation in datacentres is based on the need to adjust data infrastructure to meet increasingly complex requirements
Enterprise CIOs need to be aware of the fundamental shifts in the ecosystem, for example, the proliferation of connected devices that are online and generating enterprise data but are creating and processing that data outside of the traditional datacentres and cloud, at the edge.
CIOs need to be aware of fundamental shifts for example proliferation of connected devices outside of traditional datacentres
In addition, data governance and legislation effects where data can and cannot be stored, which has necessitated this shift to a hybrid cloud model where the corporate datacentre is still an essential component, but the demands on the infrastructure have changed dramatically. It is one thing to be aware of these new technologies and the shifts in the ecosystem but creating a transformation plan and an infrastructure strategy that will be future proofed against these changes is a challenge.
Data infrastructure requires flexibility to scale, to move workloads to the right platform, and reduce complexity
Lenovo is supporting enterprise customers to address these challenges, a suite of edge-to-cloud advisory and implementation services, to help them to understand where they are on their digital transformation journey and which custom solution matches their unique workloads.
In the datacentre, Lenovo has a long and rich history of collaboration with Intel. The ongoing partnership on AI and HPC has delivered a number of significant technology achievements, and we continue to work on datacentre technologies including cooing. Lenovo is also a partner for Intel Select Solutions, which create verified hardware and software solutions that are optimised for performance and ease of deployment for common application stacks.
The corporate datacentre is still an essential component but demands on the infrastructure have changed dramatically
Lenovo’s datacentre expertise covers a wide range of areas, from general datacentre infrastructure, storage, software, SDN and services, through to advanced offerings including high performance computing, AI, IoT, and Edge. As such, you will find Lenovo solutions powering datacentres in across all industries and vertical sectors.
Lenovo is a recognised leader in datacentre solutions, and offers industry-leading servers, storage, SDI networking, services, and support to our enterprise customers. Lenovo is also the number-one supercomputer provider, according to Top500.org, and partners in creating some of the most sophisticated supercomputers in the world.
Creating a transformation plan and an infrastructure strategy that is future proofed against these changes is a challenge
Lenovo has built a complete datacentre portfolio, based on compute, storage, networking hardware and services, along with engineered solutions for specific workloads including AI, Blockchain, DevOps, and Big Data. Lenovo has a partnership with Microsoft, AMD, VMware, NetApp, Nutanix, Veeam, SAP and others, which enable customers a wide choice of solutions for their requirements.
Data governance and legislation effects where data can and cannot be stored, which has necessitated the shift to a hybrid cloud
Lenovo’s solutions have been designed for these complex deployment scenarios, with features such as end-to-end data management that is architected and implemented for requirements from the edge to core to the cloud; encrypted data protection and protection of data at motion, at rest and in the cloud; integration with leading public cloud platforms and enterprise applications and workloads; and intelligence and automation to ease implementation, and support embedded analytics for future-proofed data management, delivering superior long-time economic and operational value to the organisation.
Organisations are mixing cloud, edge, on-premises computing in hybrid environments, and focusing on the demands of specific workloads resulting in complexity.