Volume 343, Issue 2 · 7 articles
Dell argues physical AI will learn from enterprise operational data, requiring storage built for scale and sovereignty.
Dell says foundation models built on internet text have largely tapped that source, and future gains will come from AI that learns by acting, the Era of Experience described by David Silver and Richard Sutton.
Physical AI systems generate valuable operational experience every shift, but most of that data is lost, and capturing episodic data requires storage designed for scale, multimodal coherence, provenance and training throughput.
Keeping the learning loop sovereign protects IP and supports compliance.
Dell offers a phased playbook for preparing existing data centers for AI racks that draw over 10x the power.
Dell says AI is following cloud computing's path from public-first to hybrid, but faster, and most brownfield data centers are not ready.
AI racks draw more than 10x the power of traditional servers and increasingly need liquid cooling, so a hybrid cooling strategy matched to workload density is often most practical.
Dell recommends a phased approach of auditing facilities for constraints, optimizing workloads to free power and space, and designing a retrofit or new build when needed.
Dell's new series explains the difference between a model and an agent and where agentic AI makes sense.
The first post in Dell's eight-part Agentic AI and You series explains that an LLM is a snapshot of its training data, while an agent works toward a goal in a loop of planning, acting and checking results, combining a model with a harness of tools, memory and routines.
Each loop consumes tokens, which affects costs and whether to run agents in the cloud or on a local AI workstation.
Readers are advised to log repetitive tasks to find candidates for agents.
Dell Enterprise Hub, built with Hugging Face, delivers validated day-zero containers for running open-weight models on Dell infrastructure.
Dell says open-weight models have closed the capability gap with proprietary systems, but moving them to production requires repeated validation, security and sizing work.
Dell Enterprise Hub, built in partnership with Hugging Face, provides validated, security-scanned, day-zero containers optimized for Dell infrastructure, so enterprises can deploy the newest open-weight models without doing the integration themselves.
Keeping models, data and inference on owned infrastructure supports governance, cost predictability and auditability.
Dell warns AI data poisoning is quiet and recovery depends on immutable, versioned copies kept off the attack surface.
Dell contrasts loud attacks like ransomware with AI data poisoning, where services stay up and answers remain plausible while damage spreads.
Lineage tracking, limited write access, separated environments and targeted testing make poisoning harder to introduce and easier to trace, though none guarantees clean data.
Recovery depends on immutable, versioned copies held off the attack surface and retained long enough to outlast the poison, so a known-good generation exists.
Dell outlines its Deskside Agentic AI workstation tiers for running resource-intensive agent workflows locally.
Dell notes agentic AI workflows are far more resource-intensive than standard AI tasks, and organizations increasingly run them locally instead of through cloud APIs.
Dell Deskside Agentic AI offers a tiered portfolio of workstations purpose-built for sustained, multi-step agent workloads, with built-in workflows for coding, research and regulated industries that let teams start deploying agents out of the box.
The post helps buyers match workstation tiers to their stage of agentic AI adoption.
Reflection's open-weight Beam reasoning model is now available via Dell Enterprise Hub, optimized for Dell PowerEdge.
Reflection's Beam, an open-weight model with reasoning, software engineering and agentic capabilities, is available through Dell Enterprise Hub with optimized containers for Dell PowerEdge.
The validated solution combines Beam with GPU compute, AI-native storage and the Dell AI Data Platform so organizations can connect enterprise data to AI workflows on premises.
Dell describes this as the first step in a collaboration bringing Reflection's models to Dell AI Factory for governed, advanced AI tasks.