Thermo Fisher and NVIDIA Partner to Expand AI Driven Laboratory Automation

Thermo Fisher Scientific (Waltham, Massachusetts, USA) has announced a strategic collaboration with NVIDIA aimed at expanding the use of artificial intelligence (AI) within scientific research environments. According to the press release, the initiative is designed to support the development of AI‑enabled scientific instruments and to accelerate laboratory performance by connecting hardware, software, and data through advanced computational tools (1).

The companies plan to integrate NVIDIA’s AI platform with Thermo Fisher’s laboratory technologies to enhance automation and improve laboratory workflows. The collaboration focuses on creating a more modern digital foundation across laboratories, including instrumentation, infrastructure, and data management systems. The goal, according to the release, is to reduce manual steps commonly performed by scientists and increase overall efficiency in experimental processes (1).

In many laboratories today, researchers continue to carry out numerous tasks by hand, including experiment design, instrument setup, sample preparation, instrument operation, and data interpretation. The partnership is expected to modernize these procedures by incorporating AI systems into scientific instruments and by linking laboratory data to AI-enabled software tools. This approach is intended to support scientists in experimenting more efficiently and generating insights more quickly.

Thermo Fisher will leverage its experience in scientific instruments and laboratory software alongside NVIDIA’s AI infrastructure. This includes technologies such as NVIDIA DGX Spark, as well as AI models like NVIDIA NeMo and NVIDIA BioNeMo. These tools are expected to support the development of instruments capable of more intuitive interactions with users and improved accessibility for researchers. According to the press release, the collaboration is intended to democratize next‑generation scientific discovery.

Both companies view the combination of AI and laboratory automation as an important shift in how scientific work will be conducted. “Artificial intelligence coupled with laboratory automation will transform how scientific work is performed,” said Gianluca Pettiti, executive vice president at Thermo Fisher. “By combining Thermo Fisher’s leadership in laboratory technologies with NVIDIA’s digital and AI solutions, we can help customers work faster, improve accuracy and get more value out of each experiment, ultimately accelerating discoveries that can have significant human impact.”

Kimberly Powell, vice president of healthcare at NVIDIA, highlighted how this could accelerate discoveries that positively influence human health and scientific progress. She described the current period as the beginning of what they call “lab‑in‑the‑loop science.” This concept centers on the integration of AI, software agents, and scientific instruments to enable scientific discovery at a larger scale and faster pace. “Working with Thermo Fisher, we are building the fundamental infrastructure of autonomous labs, creating a powerful research and discovery flywheel accelerating the pace of life sciences breakthroughs,” Powell said.

The collaboration also aims to support laboratories transitioning toward more data‑driven operations. By connecting laboratory devices and data streams with NVIDIA’s AI solutions, the companies intend to improve the ability of scientists to design experiments, manage complex data sets, and analyze results.

In summary, the initiative seeks to support laboratories in becoming more automated, connected, and efficient, with the overarching goal of helping researchers accelerate scientific discovery.

Reference

(1) Thermo Fisher Scientific Newsroom, Thermo Fisher Scientific Announces Strategic Collaboration With NVIDIA Leveraging AI to Advance Scientific Instrumentation and Accelerate Laboratory Performance https://newsroom.thermofisher.com/newsroom/press-releases/press-release-details/2026/Thermo-Fisher-Scientific-Announces-Strategic-Collaboration-With-NVIDIA-Leveraging-AI-to-Advance-Scientific-Instrumentation-and-Accelerate-Laboratory-Performance/default.aspx (accessed 2026-01-29).