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Dynatrace partners with NVIDIA to boost enterprise AI observability

Yesterday

Dynatrace has entered a partnership with NVIDIA to integrate its full-stack AI and large language model (LLM) observability solution into the NVIDIA Enterprise AI Factory validated design, which has been recently unveiled.

The NVIDIA Enterprise AI Factory validated design aims to provide enterprises with guidance to build and deploy on-premises AI infrastructure, supported by real-time observability and AI-driven insights through the Dynatrace platform. The integration is intended to meet the rising demand for on-premises AI in sectors where regulatory compliance and system reliability are critical, such as healthcare, finance, and government.

By incorporating Dynatrace's observability capabilities, organisations deploying NVIDIA Blackwell systems will have access to real-time, AI-driven operational insights. This is designed to facilitate the deployment, monitoring, and management of AI workflows within enterprise environments.

The Dynatrace platform includes Davis AI, an AI engine that delivers automated anomaly detection, root cause analysis, and remediation recommendations using Davis CoPilot. The platform is designed to monitor and manage AI deployments, assisting IT teams in detecting issues at various levels, spanning topology, transactions, and code.

According to Dynatrace, this capability enables organisations to proactively identify and resolve issues, which is key in maintaining system performance, security, and reliability as AI becomes increasingly integrated into business operations.

The NVIDIA Enterprise AI Factory validated design is engineered to support a range of use cases, including AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time analytics. It features NVIDIA Blackwell accelerated infrastructure and incorporates specialist AI software to provide robust performance that meets enterprise requirements.

The validated design also draws on NVIDIA's engineering expertise and partner ecosystem, aiming to help enterprises reduce risks associated with AI deployment and accelerate time-to-value for new AI initiatives.

Dynatrace stated that the joint solution addresses the particular needs of industries where oversight and compliance are paramount. The two companies anticipate increased adoption of on-premises AI factories in these sectors as digital transformation and regulatory requirements converge.

Alois Reitbauer, Chief Technology Strategist at Dynatrace, said: "Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale. Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they're implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organisations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analysing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimise their AI deployments."

John Fanelli, Vice President, Enterprise Software at NVIDIA, commented: "As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure. Dynatrace's integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one."

The collaboration is positioned to provide enterprises with tools for precise optimisation and governance of their AI investments, particularly as organisational use of AI expands in complexity and scope.

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