Dell Technologies Delivers Production-Ready Agentic AI from Deskside to Data Center

Dell Technologies is expanding the 'Dell AI Factory with NVIDIA' to provide enterprises with production-ready agentic AI infrastructure that is local, secure, and cost-predictable, from the decision-making desk to the expanding data center.

News Highlights: - 'Dell Deskside Agentic AI' enables organizations to launch agentic AI locally and securely with predictable costs. - The new solution leverages high-performance Dell workstations, NVIDIA NemoClaw software stack, and Dell Services to process flagship models ranging from 30 billion to 1 trillion parameters at the deskside. - Integration with NVIDIA OpenShell provides a sandbox runtime for building, testing, and managing AI agents with security and privacy controls across the entire Dell AI Factory with NVIDIA, from deskside workstations to Dell PowerEdge XE servers. - Support for NVIDIA AI-Q 2.0 Blueprint accelerates the deployment of multi-agent workflows on Dell AI Factory infrastructure.

Announced at Dell Technologies World 2026 in Las Vegas: Dell has introduced 'Dell Deskside Agentic AI' as a new addition to the Dell AI Factory with NVIDIA. This allows workgroups to deploy and scale agentic AI workflows locally without the cost, latency, and data sovereignty constraints associated with cloud-only approaches. With NVIDIA OpenShell runtime support across the portfolio, users benefit from a single layer of security and policy enforcement from workstations to PowerEdge XE servers.

Background: As AI workflows transition to agentic architectures, token usage is accelerating. This can cause cloud costs to rise to unsustainable levels even as price-per-token drops. A cloud-only strategy often fails to meet the critical requirements of economics, security, and data sovereignty for large-scale operations. Organizations need infrastructure that solves these challenges and scales without requiring re-architecting as workloads mature.

With Dell Deskside Agentic AI, results comparable to or better than public cloud API costs can be achieved in as little as three months. By keeping inference local, costs become predictable, data remains secure, and the AI environment can be granularly controlled. NVIDIA OpenShell provides a secure sandbox for developers to innovate without unpredictable cloud fees or IP risks.

Complete Solution for Production-Ready Deskside Agentic AI: Built on the reality that over 50% of agentic workflows run on open-weight models, Dell Deskside Agentic AI supports models ranging from 30 billion to 284 billion parameters.