Dell Deskside Agentic AI Solution Brief

Are you ready for the new way of working?

Today, the reasoning era is at its peak. Most enterprises have stood up the classic productivity chatbot to tackle everyday tasks. Workers ask a question, the AI model responds and we’re done. Single turn. Human in the loop. One prompt, one completion.

Workloads run in the cloud and typically cost up to 2000 tokens per interaction. In this world, token usage is relatively bounded and predictable.

As AI evolves into agentic, workflows shift dramatically. Autonomous agents don’t just answer a single prompt. They chain tasks, retrieve data, use tools and even collaborate with other AI agents.

All on their own. The risk is clear.

Without guardrails, these loops can silently burn through your token budgets. Even as token costs fall, high usage can cause the cost per outcome to rise quickly.

Dell Deskside Agentic AI is a solution for standing up production-ready agentic AI for workgroups

• Your data, your data, your control: Secure sandbox to build, test and fine-tune agents so your IP doesn’t leave the building.
• No more unpredictable cloud costs: Run agentic workflows with 30B-1T workhorse models locally without unpredictable, pay-per-token cloud bills.
• Scale from deskside to data center: OpenShell enables consistent architecture and operations across environments through the Dell AI Factory.

Purpose-built agentic AI use cases for the deskside

We have created a simple path to bring ready-to-use, validated agentic AI to the enterprise. Here are three solutions available immediately through Dell Deskside Agentic AI solutions:

1. Deskside Code Assistant: Developers use multiple agents to write, test and review code locally. This approach avoids the massive token costs associated with advanced cloud-based reasoning models.
2. Deskside Research Assistant: Universities process massive datasets and lengthy research papers securely. They empower students and faculty while avoiding unpredictable cloud billing.
3. Deskside Private Assistant: Organizations deploy isolated private assistants to protect sensitive data while running intensive workloads entirely on-site.

Real-world benefits

When AI agents run locally on Dell hardware, organizations gain next-level capabilities while maintaining full control over their data.

• Drives incredible productivity: Agents handle repetitive tasks, write code, and draft documents, empowering your teams to focus on strategy and higher-level goals.
• Transforms how people work: Employees shift from performing manual tasks to managing smart, versatile agents that work alongside them.
• Delivers massive cost savings: Bringing intensive workloads to local Dell hardware eliminates unpredictable cloud bills and expensive token fees.
• Empowers secure innovation: Running agents locally gives your organization total control over its data, privacy, and security.

Deskside agentic AI software stack

Dell Deskside Agentic AI is powered by the NVIDIA NemoClaw software stack, seamlessly integrated with CrowdStrike Falcon endpoint protection.

This combination ensures Dell’s most secure commercial PCs provide a trusted and robust foundation for deploying long-running autonomous agents on local infrastructure.

Continuous OS level protection with BIOS level visibility for Dell Pro Precision platforms, Falcon detects and responds to threats below the OS, securing the full agent environment from firmware to sandbox workloads.

These components can be deployed as a single, integrated stack so IT teams can stand up a secure runtime, models and security controls in one motion, with support from Dell Services, and manage them consistently as environments grow.

This solution delivers strong security, controls and data sovereignty by running agents locally with policy-enforced sandboxes and BIOS-level protection across the full environment.

Deskside agentic AI hardware

These hardware solutions for Dell Deskside Agentic AI brings high-level AI performance directly to the deskside through a portfolio of Dell Pro Precision 9 tower workstations, GB10 and GB300 supercomputers.

Together, these platforms are purpose-built to run 30B–1T-class agentic models and dense multi-agent workloads locally, with the scalability, thermals and power delivery needed for always-on AI agents.

All these systems are integrated within the Dell AI Factory with NVIDIA so that as demand grows, the workloads can scale from the deskside to PowerEdge server solutions.

Explore: Launchpad for small-scale individual prototyping

Dell Pro Max with GB10, Dell Pro Precision T2 Tower

• VRAM: up to 128GB LPDDR5X
• Compute: 1 PETAFLOP AI (FP4) / ~31 TFLOPS (FP32)
• Model size: 30-200B
• Agents: Up to 8 agents

Scale: Professional-grade AI development with workhorse class models

Dell Pro Precision T4 Tower

• VRAM: 16GB per NVIDIA T4 (scales with multiple GPUs)
• Compute: 8 TFLOPS (FP32) per GPU
• Model size: 120-500B
• Compute: up to 40 agents

Orchestrate: Maximize multi-agent performance and local model fine-tuning

Dell Pro Max with GB300, Dell Pro Precision T6 Tower

• VRAM: ~252=576GB HBM3e (superchip config)
• Compute: 20-30 PETAFLOPS AI (FP4) per superchip
• Model size: 120B - 1T
• Compute: up to 150 agents

This solution provides customers with a clear, deskside-first pathway to build, test, and scale agentic AI on infrastructure they own—purpose-built for today’s workloads and ready to evolve with future demands.

Expert guidance from Dell Services

Enable high-value agentic AI outcomes with hands-on assistance throughout the lifecycle.

• Strategize: Identify high-value use cases, assess data readiness and design security safeguards.
• Implement: Deploy hardware and software, and securely configure agentic AI tailored to your business use cases.
• Adopt: Integrate agents into workflows, validate results and refine behavior based on feedback.
• Scale: Continuously improve and provide ongoing support to ensure optimal agent behavior and scalability.

Next steps: 3 questions to ask your team this quarter

1. Do we know our cost-per-outcome at the token level? If not, we’re not yet practicing token economics in a way finance can trust.
2. Which workloads are we renting tokens for that we could generate ourselves? Code review, research synthesis and regulated workflows are typical first candidates to move from cloud-only to deskside.
3. What percentage of our AI spend is forecastable 12 months out? That percentage should improve materially once you shift always-on, agentic workloads to deskside infrastructure you own.

Engage Dell Services for an AI workshop to identify key agentic AI use cases, define overall solution and security requirements and explore financing options.

Contact your Dell Sales Representative or authorized Dell partner to explore specific hardware and infrastructure needs.

Learn more at Dell.com/DesksideAgenticAI