Thermo Fisher Scientific Inc. a global leader in serving science, has announced a strategic collaboration with NVIDIA aimed at advancing the use of artificial intelligence (AI) across scientific instrumentation and laboratory operations. This partnership brings together Thermo Fisher’s extensive portfolio of laboratory instruments, software, and services with NVIDIA’s advanced AI platforms and accelerated computing technologies to drive large-scale laboratory automation, improve data accuracy, and significantly increase the speed and efficiency of scientific workflows.
At its core, the collaboration is designed to modernize the digital foundation that underpins today’s laboratories. By integrating AI more deeply into scientific instruments, laboratory infrastructure, and data systems, Thermo Fisher and NVIDIA intend to help laboratories transition away from labor-intensive, manual processes toward smarter, more connected, and increasingly autonomous environments. The objective is to reduce repetitive human intervention, enhance reproducibility, and enable scientists to focus more of their time on high-value research and discovery.
Transforming laboratory workflows through AI
Despite significant advances in laboratory technology over the past decade, many scientific workflows still rely heavily on manual execution. Scientists routinely design experiments, configure instruments, prepare samples, monitor runs, and analyze results with limited automation or intelligent assistance. These manual steps can introduce variability, slow throughput, and constrain the scale at which experiments can be conducted.
The collaboration between Thermo Fisher and NVIDIA seeks to address these challenges by embedding AI capabilities directly into laboratory instruments and software systems. Through smarter automation and intelligent data handling, instruments will be better equipped to guide users, optimize experimental parameters, and detect anomalies in real time. Laboratories will also be more effectively connected, allowing data generated across multiple instruments and workflows to be integrated and analyzed using advanced AI models.
By augmenting scientists’ capabilities rather than replacing them, the partnership aims to support a new generation of “AI-enabled” laboratories. These environments will be designed to assist researchers throughout the entire experimental lifecycle—from experimental design and setup to execution, analysis, and interpretation—helping to accelerate insight generation and improve decision-making.
Leveraging NVIDIA’s AI infrastructure
A key component of the collaboration is Thermo Fisher’s adoption of NVIDIA’s AI infrastructure and software platforms. This includes NVIDIA DGX Spark™, a powerful desktop supercomputer designed to bring advanced AI computing directly to scientists, as well as AI models and frameworks such as NVIDIA NeMo™ and NVIDIA BioNeMo™, which are purpose-built for large-scale model development in areas including language processing and biological research.
By pairing these AI technologies with Thermo Fisher’s scientific instruments and laboratory software, the companies aim to evolve how scientists interact with their tools. Future instruments and systems are expected to offer more intuitive, conversational, and adaptive user experiences, enabling seamless interaction between researchers and complex laboratory equipment. This approach is intended to lower technical barriers, broaden access to advanced analytical capabilities, and help democratize scientific discovery across organizations of all sizes.
Driving automation, accuracy, and speed
The collaboration reflects a broader industry shift toward data-driven and autonomous research environments. AI-powered instruments can continuously learn from experimental data, refine workflows, and suggest optimizations that improve accuracy and consistency. Over time, this can lead to higher-quality results, reduced experimental failure rates, and faster iteration cycles.
Thermo Fisher believes that the integration of AI and automation will allow customers to extract more value from each experiment. By reducing manual intervention and streamlining data analysis, laboratories can increase throughput without compromising quality, ultimately accelerating research timelines in critical areas such as life sciences, biotechnology, pharmaceuticals, and clinical research.
Gianluca Pettiti, Executive Vice President at Thermo Fisher Scientific, emphasized the transformative potential of the collaboration, noting that the convergence of AI and laboratory automation has the power to fundamentally change how scientific work is performed. By combining Thermo Fisher’s leadership in laboratory technologies with NVIDIA’s expertise in AI and digital infrastructure, the company aims to help customers work faster, improve accuracy, and accelerate discoveries with meaningful human impact.
Building the foundation for autonomous labs
From NVIDIA’s perspective, the collaboration represents an important step toward what it describes as “lab-in-the-loop” science. In this emerging paradigm, AI models, intelligent agents, and laboratory instruments operate together as an integrated system capable of scaling scientific discovery at an industrial pace. Kimberly Powell, Vice President of Healthcare at NVIDIA, highlighted the vision of creating the foundational infrastructure for autonomous laboratories—environments in which AI continuously learns from experimental outcomes and feeds insights back into the research process.
Such autonomous or semi-autonomous labs could create a powerful feedback loop, where data generation, analysis, and optimization occur continuously and at scale. This has the potential to dramatically shorten the time required to move from hypothesis to validated result, particularly in data-intensive fields such as genomics, proteomics, and drug discovery.
Strengthening Thermo Fisher’s innovation ecosystem
The collaboration further strengthens Thermo Fisher’s position as a leading provider of cutting-edge instruments, consumables, and services for the life sciences. By integrating AI into its offerings, Thermo Fisher is expanding its innovation ecosystem to include advanced digital capabilities alongside physical laboratory technologies. The company already works with a broad range of technology partners, and this collaboration with NVIDIA reinforces its commitment to building an integrated, end-to-end laboratory environment where data, instruments, software, and scientists operate cohesively.
Ultimately, the partnership underscores a shared vision of the future laboratory—one that is highly connected, intelligent, and capable of dramatically amplifying scientific productivity. As AI becomes increasingly central to research and discovery, the combined efforts of Thermo Fisher Scientific and NVIDIA are positioned to play a significant role in shaping how science is conducted in the years ahead.
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