Dynatrace announced at Computex 2025 that it has integrated its AI-powered full-stack observability platform with NVIDIA’s recently introduced Enterprise AI Factory validated reference design.
NVIDIA AI Factory gets Dynatrace support
Thanks to this collaboration, organizations using AI systems built on NVIDIA RTX PRO 6000 Blackwell servers and other Blackwell infrastructure can benefit from real-time data visibility and AI-powered analysis while setting up their own local AI factories.

At the center of the integrated system is Dynatrace’s Davis AI engine. This engine works with Davis CoPilot, which provides anomaly detection, root cause analysis, and automatic solution recommendations. This structure enables monitoring and management of complex AI and agentic AI deployments.
Thanks to Dynatrace’s platform, organizations using the NVIDIA Enterprise AI Factory design can automatically detect problems that may occur at all layers from the process level to the code level across the system and quickly determine the source of the problem. This approach provides operational advantages to IT teams in terms of performance, reliability, and security.
The NVIDIA Enterprise AI Factory reference design was developed to enable organizations to build and deploy their own local AI infrastructures. Built on Blackwell accelerator systems, this design can run a wide range of AI-enabled applications, physical AI workflows, autonomous decision systems, and real-time data analytics. Validated by NVIDIA engineering and its partner network, the system provides high-performance operations and low-risk deployment processes.
This integration from Dynatrace addresses the growing need for local AI infrastructures, especially in regulated sectors such as healthcare, finance, and government. In these areas where system security and compliance are critical, organizations can operate their AI processes seamlessly and securely thanks to real-time observability and automated insights.
Alois Reitbauer, Technology Strategist at Dynatrace, stated that full-stack AI and large language model (LLM) observability have become essential requirements for operating mission-critical infrastructures at scale. Reitbauer emphasized that with this collaboration, agentic AI systems can be operated in a more responsive, secure and open to automation manner.
NVIDIA Enterprise Software Vice President John Fanelli said that artificial intelligence systems are rapidly spreading and that businesses need advanced tools to monitor these systems. Fanelli stated that Dynatrace’s integration with NVIDIA Enterprise AI Factory has enabled Blackwell-based systems to be operated in a transparent and analyzable manner from day one.