Dell Technologies has introduced Dell Deskside Agentic AI, expanding its Dell AI Factory with NVIDIA platform to support local deployment and scaling of agentic AI workloads across enterprise environments.
The announcement was made during Dell Technologies World and reflects growing enterprise demand for AI infrastructure that addresses rising cloud costs, data sovereignty concerns, and security requirements tied to large-scale AI deployments.
The company said the new offering enables workgroups to run and manage agentic AI workflows locally rather than relying entirely on cloud-based infrastructure. The platform integrates support for NVIDIA OpenShell runtime across the Dell AI Factory ecosystem, spanning deskside workstations through Dell PowerEdge XE servers.
Agentic AI systems are designed to execute autonomous, multi-step workflows with limited human intervention. As adoption increases, enterprises are facing growing infrastructure costs due to higher token usage and continuous AI inferencing workloads.
Dell said organizations using agentic AI workloads can achieve cost break-even against public cloud API usage in as little as three months. The company also stated that businesses could reduce AI infrastructure spending by up to 87% over two years compared to cloud API-based deployments.
The Dell Deskside Agentic AI portfolio includes multiple workstation configurations tailored for different AI model sizes and workload requirements.
The Dell Pro Max with GB10 targets smaller-scale AI agent prototyping and supports models ranging from 30 billion to 200 billion parameters. The Dell Pro Precision 9 workstation includes Intel Xeon 600 processors and supports up to five NVIDIA RTX PRO Blackwell Workstation Edition GPUs for larger enterprise AI workloads.
For frontier-scale inferencing, Dell introduced the Dell Pro Max with GB300. The system is powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and is designed to support models ranging from 120 billion to 1 trillion parameters.
Dell said the infrastructure is paired with the NVIDIA NemoClaw reference stack, an open-source framework designed to support autonomous AI agents and persistent multi-step workflows running on local hardware. The stack includes NVIDIA Nemotron open models and OpenShell secure runtime technologies.
The company also announced expanded Dell Services offerings focused on supporting enterprises through AI deployment, workflow integration, infrastructure optimization, and AI operations management.
A key part of the announcement is the broader rollout of NVIDIA OpenShell support across the entire Dell AI Factory with NVIDIA ecosystem. OpenShell provides a sandboxed runtime environment for developing, deploying, and governing AI agents while maintaining enterprise security and privacy controls.
The framework supports deployments across Dell high-performance workstations and PowerEdge XE servers running Canonical Ubuntu and Red Hat AI environments.
Dell also introduced support for NVIDIA AI-Q 2.0, designed for deploying multi-agent AI workflows handling research, decision support, and advanced enterprise tasks. The Dell-NVIDIA AI-Q 2.0 Reference Architecture is powered by the Dell AI Data Platform and targets regulated industries such as financial services, manufacturing, and public sector organizations.
Jeff Clarke, Chief Operating Officer of Dell Technologies, said enterprise data remains largely outside the public cloud, making local AI inferencing increasingly important for cost control and intellectual property protection.
He said the company’s deskside-to-data-center deployment model is designed to provide a scalable long-term framework for enterprise AI adoption.
Justin Boitano said enterprises are looking for AI infrastructure capable of supporting both local development and large-scale deployment through a unified platform.
Ryan Shrout said enterprises moving from AI experimentation to production increasingly require infrastructure that combines scalability, security, and predictable operational costs.
Dell said Dell Deskside Agentic AI, NVIDIA OpenShell integration, NVIDIA AI-Q 2.0 support, and the Dell-NVIDIA AI-Q 2.0 Reference Architecture are all available immediately.
