Dell Technologies has announced a broad portfolio of advancements at Dell Technologies World 2026 designed to bridge the gap between AI ambition and real-world outcomes, spanning agentic AI deployment, expanded AI Factory infrastructure with NVIDIA, and a reimagined modern data centre architecture.

Expanded AI Factory with NVIDIA and an Open Ecosystem

Dell has announced significant advancements to the Dell AI Factory with NVIDIA, spanning agentic AI at scale, AI-ready data solutions, and next-generation infrastructure. The ecosystem is expanding with partners including Google, Hugging Face, OpenAI, and Palantir — a signal that Dell is positioning the AI Factory as an open platform rather than a proprietary stack, lowering the integration overhead for enterprise customers deploying heterogeneous AI tooling.

Production-Ready Agentic AI from Deskside to Data Centre

New Dell Deskside Agentic AI solutions — powered by high-performance workstations and NVIDIA NemoClaw — enable secure, cost-predictable deployment of autonomous agents locally, without requiring cloud connectivity for inference. This addresses a growing enterprise requirement for on-premise AI agents in security-sensitive environments where data sovereignty and latency constraints make cloud-based inference impractical.

The deskside-to-data-centre framing reflects an industry shift toward distributed AI deployment, where agents operate across a spectrum of hardware from edge workstations to hyperscale data centres depending on workload requirements and governance constraints.

Reimagined Data Centre for the AI Era

Dell is introducing a new generation of data centre infrastructure across storage, compute, cyber resilience, and automation. Key announcements include the Dell PowerStore Elite for enhanced storage performance; 18th Gen PowerEdge servers optimised for AI and high-performance computing workloads; Dell PowerProtect One and Dell Cyber Detect for AI-powered data protection and security; and the Dell Automation Platform for simplified IT operations management.

The breadth of the portfolio reflects the operational complexity facing enterprise IT teams as they seek to modernise infrastructure for AI workloads while maintaining existing application environments and meeting increasingly stringent data protection obligations.