Washington – October 14, 2026 -- Danaher Corporation (NYSE: DHR) has launched a collaboration with NVIDIA to combine its scientific instruments, automation technologies, laboratory workflow software and domain expertise with NVIDIA accelerated computing and AI, targeting faster movement from AI prediction to experimental evidence.
Danaher and NVIDIA build a closed loop between experiments and models
The companies aim to create a continuous learning cycle in which experimental results inform AI models and the models help design better experiments. Danaher says the goal is to reduce the time and complexity of turning an AI-generated prediction into the experimental evidence needed to act on it.
Danaher CEO Julie Sawyer Montgomery described the effort as a shared vision for more connected, adaptive and accessible innovation. Kimberly Powell, NVIDIA's Vice President of Healthcare, said the approach is meant to help researchers compress years of discovery into months.
NVIDIA DGX Spark, RAPIDS and BioNeMo Open Models form the technical stack
The partners are working to integrate AI into instruments through edge computing with NVIDIA DGX Spark. The stack also includes accelerated analytics and data processing with RAPIDS, real-time inference, scientific reasoning and foundation model technologies, including BioNeMo Open Models.
The companies are also exploring how NVIDIA Cosmos world models and Omniverse Digital Twins can support more intelligent instruments and laboratory workflows. Experimental evidence is to remain at the center of scientific decision-making.
Initial rollout targets a select group of priority instruments
Early work centers on a limited set of priority instruments. Danaher sees potential to extend the approach across a broader portfolio over time, though the companies disclosed no timeline, financial terms or specific instrument lines.
Danaher also states it will preserve customer choice in models, standards and technology providers, a commitment that addresses lock-in concerns for lab operators weighing AI-enabled equipment.
The announcement is forward-looking. Danaher cites risks including uncertainties around developing and deploying AI in its products, collaboration arrangements with third parties, and debt incurred to finance its acquisition of Masimo Corporation.