NVIDIA + Dynatrace: How to Accelerate and Operationalize Production AI Workloads
Thursday, April 9, 2026
Session 1: 9am-10am CEST
Session 2: 8am PDT / 11am EDT
Modern enterprises are racing to operationalize AI at scale, but the path from model development to reliable, high‑performance production workloads is often slow, complex, and costly. NVIDIA and Dynatrace have teamed up to change that.
In this webinar, you’ll learn how Dynatrace’s unified observability, security, and AIOps platform, combined with NVIDIA’s accelerated computing and AI infrastructure, enables organizations to deploy, monitor, and optimize AI workloads with speed and confidence.
We’ll explore how to:
- Provide instant visibility into GPU-powered AI workloads such as NIM and other popular platforms
- Optimize cost and performance of agentic and AE workload systems
- Drive the success of agentic projects in your customer base
- Ensure data compliance and monitor guardrails and safeguards
- Integrate with proven NVIDIA AI Blueprints
Whether you're building LLM-powered experiences, computer vision workloads, or real‑time inference services, this session will show how NVIDIA + Dynatrace provides a proven blueprint for resilient, scalable, production‑grade AI.
Perfect for: AI/ML engineers, platform teams, SREs, cloud architects, observability leaders, and anyone tasked with making AI run reliably in the real world.
