Scaling enterprise AI with confidence: Dynatrace joins the Dell Technologies AI Ecosystem Program

Most enterprises have moved past the deployment problem. The harder question is what those workloads are doing in production: where GPU spend is going, how agent chains are behaving, and whether compliance teams can answer when regulators ask. When the answers aren’t clear, the consequences land fast and are rarely contained to one team.

That’s why Dynatrace is joining the Dell Technologies AI Ecosystem Program, bringing full-stack AI and LLM observability natively into a broad and integrated AI infrastructure ecosystem. Dell delivers the validated, integrated infrastructure to run AI at scale. Dynatrace brings the observability, automation, and governance to operate it with confidence, with visibility from GPU infrastructure to model behavior to end-user experience. Together, they give enterprises the control to match the scale they’ve already built.

The real challenge: AI at enterprise scale

Running AI in a pilot is very different from running it at scale across the business with real users, regulated data, and demanding SLAs. As we’ve worked with enterprises across industries, these failure patterns come up repeatedly:

Cost

As enterprises scale AI, costs spiral rapidly and unpredictably across model providers, GPU clusters, and inference APIs without clear line of sight into what is driving spend or whether it’s delivering value.

Observability gaps

Traditional monitoring tools weren’t built for AI pipelines. Fragmented observability across GPU clusters, orchestration layers, and inference APIs creates blind spots while LLM latency and token throughput fluctuations under load remain difficult to diagnose and even harder to predict.

Agentic complexity

Multi-step agent workflows introduce cascading failure modes. A silent error in one tool call can corrupt downstream decisions across the entire chain.

Compliance & governance

Enterprises need continuous monitoring to detect model drift, hallucinations, and unsafe outputs before they impact end users. Regulated industries need audit trails, data governance, and behavioral monitoring that most AI monitoring bolt-ons simply weren’t built for.

These aren’t edge cases. They’re the norm. And they’re the reason so many AI initiatives stall between pilot and production.

“Agentic AI changes what observability has to do. You’re no longer watching one model respond to one prompt. In agentic AI, every transaction can be unique, and you’re tracing chains of autonomous decisions across dozens of tools and services. That’s the problem Dynatrace was built to solve and Dell AI Factory is exactly the foundation enterprises need to take AI to production at scale.”

— Steve Tack, Chief Product Officer, Dynatrace

Scale AI workloads with confidence

Dynatrace can be integrated into Dell AI Factory environments to cover end-to-end observability of agentic AI and LLM workloads. The goal is straightforward: no blind spots, no surprises, and no manual investigation when something goes wrong. Here’s what that looks like in practice:

• Unified AI observability to monitor the AI stack. Prompts, Model calls and downstream services, in a single platform that replaces the fragmented tooling most teams rely on today.
• Automated prevention and remediation with Dynatrace Intelligence®. When AI workloads behave unexpectedly, Dynatrace Intelligence detects anomalies in real time and triggers automated remediation to minimize or eliminate downstream consequences.
• End-to-end agentic AI tracing. Distributed tracing across multi-step agent chains, tool calls, RAG pipelines, and external integrations gives teams visibility into how AI agent decisions are made and where they go wrong.
• Automatic topology mapping with Smartscape®. Maps every component in your Dell AI Factory environment, showing in real time how infrastructure, services, and AI models depend on and affect each other.
• Built-in data governance and audit trails. Track data flows, model decisions, and AI service behavior with governance capabilities designed for regulated industries not retrofitted to them after the fact.
• Faster resolution with Dynatrace Assist. Natural language querying and AI-generated remediation recommendations help operations teams resolve issues faster, even without deep AI infrastructure expertise.

Built for the industries where AI is becoming mission critical

AI is no longer an experiment. It’s become core infrastructure for the world’s most demanding enterprises, embedded in the decisions, workflows, and customer experiences that keep businesses running. When AI is mission critical, a failure isn’t a learning opportunity; it’s a negative business impact. Tolerance for poor visibility, unexplained latency, or untraceable decisions drops to zero. That’s precisely where Dynatrace AI Observability comes in, giving teams the visibility, control, and real-time intelligence to keep AI running when it matters most.

“The enterprises winning with AI aren’t running one model in one department. They’re operationalizing AI across the business. Dynatrace joining the Dell Technologies AI Ecosystem Program gives those customers the observability foundation to expand AI workloads on Dell infrastructure with the reliability, governance, and efficiency that enterprise-scale demands.”

— Brad Maltz, Senior Director of AI Solutions, Dell Technologies

What this means for joint customers

For organizations deploying on Dell AI Factory infrastructure, the combination of Dell’s validated hardware and software stack with Dynatrace’s intelligent observability platform means:

• Scale with confidence. Expand production AI across the business without losing visibility or control.
• Higher AI reliability. Proactive anomaly detection surfaces issues early; moving teams from reactive firefighting to confident operations.
• Lower risk at scale. Broad stack visibility reduces the unknowns that make executive teams cautious in moving AI to production at scale.
• Improved ROI on AI investment. When AI workloads run efficiently and every GPU hour is visible, teams can continuously optimize performance and cost.

End-to-end observability isn’t a nice-to-have for AI. It’s a prerequisite for trust, and trust is what turns AI investments into business outcomes. We’re proud to bring that capability to the Dell AI Factory ecosystem, and we’re excited about how this deepening of our relationship with Dell can unlock incredible value for our joint customers on their AI journeys.