"Server manufacturers have been working in recent years to adapt their datacentre products to meet the growing demand for artificial intelligence (AI). While major public cloud providers have the resources and scale to handle AI workloads, there is renewed interest in private clouds and on-premise AI. This shift is partly due to the realisation that public large language models (LLMs) are not well-suited for specific enterprise needs. Additionally, geopolitical uncertainties have raised concerns about relying solely on hyperscale cloud providers, prompting businesses to prioritise digital sovereignty and seek greater control over their IT infrastructure."
"User priorities are shifting towards personalisation and the private domain. This is accompanied by growing emphasis on efficiency, response speed, security, privacy and sustainability."
"Sovereign and enterprise bookings now account for more than 60% of the cumulative orders since Q1 of fiscal year 2023, demonstrating our strategy to prioritise profitable AI infrastructure build-out opportunities."
Major enterprises and service providers increasingly prioritise private clouds, on-premise AI, and digital sovereignty to address privacy, performance, and regulatory demands. Public large language models often do not meet specific enterprise needs, and geopolitical uncertainties increase reluctance to rely solely on hyperscale cloud providers. Lenovo frames digital sovereignty around customer requirements and AI deployment strategies and offers a hybrid AI advantage programme combining AI hardware, AI-powered services, and AI infrastructure to address privacy requirements. HPE reports sovereign and enterprise bookings exceeding 60% of cumulative orders since Q1 FY2023 and has introduced an AMD Helios rack-scale architecture with HPE Juniper networking for sovereign clouds. Dell is also expanding sovereign cloud capabilities to meet customer demand.
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