At its 2025 flagship event in Las Vegas, Dell Technologies presented a suite of new offerings aimed at empowering organizations to run artificial intelligence workloads locally, with enhanced flexibility and efficiency.
Pushing On-Prem AI Forward
As part of its growing AI Factory initiative, Dell is doubling down on its support for on-premises deployments—citing them as a more cost-effective alternative to public cloud AI services. During a press briefing, Sam Grocott, SVP of product marketing, emphasized that businesses are increasingly evaluating where to run AI workloads based on long-term total cost of ownership (TCO).
According to Dell, analysis shows that operating AI models locally can be up to 75% more economical than relying on public cloud services, regardless of an organization’s size—from small teams to enterprise-scale deployments with tens of thousands of users.
Introducing Dell Private Cloud with Automation Platform
Central to Dell’s announcement is the launch of its new Dell Private Cloud, integrated with the Dell Automation Platform—a software stack built to reduce complexity when managing modern, disaggregated infrastructure. This solution supports seamless deployment of cloud operating systems from providers such as Nutanix, Broadcom, and Red Hat, on Dell’s compute and storage products like PowerEdge and PowerStore.
The automation suite claims to dramatically shorten deployment timelines—reducing the provisioning process by up to 90%, with full cluster setup completed in just under three hours, entirely without manual intervention.
AI Hardware Powered by Leading Chips
Complementing its cloud automation push, Dell also expanded its infrastructure lineup to include new systems powered by the latest processors from AMD, Intel, and Nvidia—supporting advanced AI training and inference workloads directly on customer premises.
Edge Computing and Hybrid Flexibility
Dell’s edge offering, NativeEdge, was also spotlighted as a key part of the private cloud stack. It’s built to support virtualized environments in edge locations and remote sites. The platform enables reliable workload management, with integrated features like VM snapshots, secure backups, and policy-driven workload distribution. Importantly, NativeEdge supports both Dell and third-party infrastructure, giving organizations the ability to manage diverse environments with a unified toolset.
Dell Unveils Expanded Private Cloud and AI Solutions for On-Premises Workloads
At its 2025 flagship event in Las Vegas, Dell Technologies presented a suite of new offerings aimed at empowering organizations to run artificial intelligence workloads locally, with enhanced flexibility and efficiency.
Pushing On-Prem AI Forward
As part of its growing AI Factory initiative, Dell is doubling down on its support for on-premises deployments—citing them as a more cost-effective alternative to public cloud AI services. During a press briefing, Sam Grocott, SVP of product marketing, emphasized that businesses are increasingly evaluating where to run AI workloads based on long-term total cost of ownership (TCO).
According to Dell, analysis shows that operating AI models locally can be up to 75% more economical than relying on public cloud services, regardless of an organization’s size—from small teams to enterprise-scale deployments with tens of thousands of users.
Introducing Dell Private Cloud with Automation Platform
Central to Dell’s announcement is the launch of its new Dell Private Cloud, integrated with the Dell Automation Platform—a software stack built to reduce complexity when managing modern, disaggregated infrastructure. This solution supports seamless deployment of cloud operating systems from providers such as Nutanix, Broadcom, and Red Hat, on Dell’s compute and storage products like PowerEdge and PowerStore.
The automation suite claims to dramatically shorten deployment timelines—reducing the provisioning process by up to 90%, with full cluster setup completed in just under three hours, entirely without manual intervention.
AI Hardware Powered by Leading Chips
Complementing its cloud automation push, Dell also expanded its infrastructure lineup to include new systems powered by the latest processors from AMD, Intel, and Nvidia—supporting advanced AI training and inference workloads directly on customer premises.
Edge Computing and Hybrid Flexibility
Dell’s edge offering, NativeEdge, was also spotlighted as a key part of the private cloud stack. It’s built to support virtualized environments in edge locations and remote sites. The platform enables reliable workload management, with integrated features like VM snapshots, secure backups, and policy-driven workload distribution. Importantly, NativeEdge supports both Dell and third-party infrastructure, giving organizations the ability to manage diverse environments with a unified toolset.
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