Nvidia accelerates the development of advanced materials with AI microservices

Source: CritpoTendencia Original Title: Nvidia accelerates the development of advanced materials with AI microservices Original Link: At the SC25 conference held in St. Louis, Nvidia presented a series of innovations in accelerated computing and artificial intelligence that are driving significant advances in materials science.

The company launched high-performance data pipelines and AI microservices designed to accelerate the identification of new materials for industries such as aerospace, energy, electronics, and manufacturing.

Nvidia drives a new era in advanced materials

One of the most notable applications includes the use of Holoscan in collaboration with the Brookhaven National Laboratory, where researchers process data in real time with resolution below 10 nanometers.

This approach allows for almost instantaneous observation of the evolution of complex materials, accelerating experiments and reducing operational costs in laboratories that require highly specialized equipment.

Another core component is the ALCHEMI suite, a set of microservices that integrates AI with molecular simulation. Additional tools such as NIM BCS, focused on conformational search, and NIM BMD, aimed at molecular dynamics, make it possible to analyze millions of potential materials in significantly less time than traditional methods.

These capabilities are especially valuable for exploring alternatives in advanced cooling systems, batteries, catalysts, or electronic components—areas that typically require long cycles of physical experimentation.

Implementations that demonstrate Nvidia’s potential

Several companies are already using Nvidia’s technology to optimize their research processes. ENEOS Holdings, for example, analyzed over 10 million possible liquids for immersion cooling systems.

In addition, it evaluated over 100 million candidates for oxygen evolution reactions in just a few weeks. Before these tools were available, processes of this scale required much longer timeframes.

Universal Display Corporation, meanwhile, turned to Nvidia’s microservices to accelerate the analysis of molecules aimed at improving the thermal stability of OLED materials.

This approach enabled large-scale predictions without relying solely on traditional experimental tests, allowing for new formulations for next-generation displays and devices.

A breakthrough accelerating global scientific innovation

Nvidia’s strategy aims to democratize access to cutting-edge tools by enabling microservices to be run both in the cloud and on local installations with compatible GPUs. This makes it easier for laboratories of different sizes to participate in discovery processes that were previously reserved for high-capacity centers.

In summary, by integrating AI, accelerated simulation, and real-time analysis, the gap between the initial idea and the development of a functional material is reduced. This shift accelerates the creation of more efficient, sustainable, and tailored technologies for current needs.

For industries that rely on continuous innovation, such as energy or electronics, this approach represents a competitive advantage and a turning point in the way technological solutions are designed.