Cloud AI costs are spiralling. Data sovereignty is a growing headache. And enterprises are tired of rebuilding their AI infrastructure every time workloads scale. Dell Technologies just answered all three problems at once — and the solution sits right on your desk.
Announced at Dell Technologies World in Las Vegas, the new Dell Deskside Agentic AI is a production-ready addition to the Dell AI Factory with NVIDIA, giving enterprises a local, secure, and cost-predictable way to run agentic AI — from individual workstations all the way to the data center.
Dell Deskside Agentic AI: Key Specs
| Feature | Detail |
|---|---|
| Platform | Dell AI Factory with NVIDIA |
| Model Range Supported | 30 billion to 1 trillion parameters |
| Cloud Cost Reduction | Up to 87% over two years |
| Break-Even vs Cloud APIs | As little as 3 months |
| Security Layer | NVIDIA OpenShell (sandboxed runtime) |
| Multi-Agent Support | NVIDIA AI-Q 2.0 Blueprint |
| Industries Targeted | Finance, Public Sector, Manufacturing |
| OS Support | Canonical Ubuntu, Red Hat AI\ |
Why This Launch Matters
Here’s the uncomfortable truth about cloud-only AI: as agentic workloads compound token usage, costs become unsustainable — even as token prices fall. Add data sovereignty concerns and latency issues, and cloud-only starts looking like a liability at enterprise scale.
Dell’s answer is to move intelligence closer to the data. Jeff Clarke, COO of Dell Technologies, framed it simply: the most efficient token is the one produced closest to the data — and most enterprise data isn’t in the cloud.
That’s the philosophy baked into every layer of Dell Deskside Agentic AI.
To understand the broader context of where agentic AI is heading as a technology paradigm, Wikipedia’s overview of intelligent agents is a solid starting point.
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The Three Workstation Tiers
Dell isn’t offering a one-size-fits-all box — it’s a tiered portfolio matched to real workload needs:
Dell Pro Max with GB10 — Compact and efficient, designed for individual agent prototyping with models from 30B to 200B parameters.
Dell Pro Precision 9 — Enterprise tower with Intel Xeon 600 processors and up to five NVIDIA RTX PRO Blackwell GPUs, handling models from 30B to 500B parameters for heavier workloads.
Dell Pro Max with GB300 — The flagship, powered by NVIDIA’s GB300 Grace Blackwell Ultra Desktop Superchip with Dell’s exclusive MaxCool technology. Built for frontier-level models from 120B up to 1 trillion parameters.
Each pairs with the NVIDIA NemoClaw reference stack — an open-source framework for persistent, autonomous, multi-step AI agents — and Dell Services for end-to-end lifecycle guidance.
NVIDIA OpenShell: One Security Layer, Everywhere
One of the standout elements of this launch is NVIDIA OpenShell, now supported across the entire Dell AI Factory — from deskside workstations to Dell PowerEdge XE servers. It creates a sandboxed, governed runtime so developers can build, test, and deploy AI agents with consistent privacy and security controls, regardless of where in the stack they’re working.
Combined with NVIDIA AI-Q 2.0 blueprint support, enterprises get a tested, scalable foundation for multi-agent workflows covering research, decision support, and complex reasoning tasks — purpose-built for regulated industries.
Justin Boitano of NVIDIA summed it up well: enterprises can now develop locally, scale securely, and deploy on one consistent platform across the full enterprise stack.
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