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    Home»Data Science»Data Center Cooling: PFCC and ENEOS Collaborate on Materials R&D with NVIDIA ALCHEMI Software
    Data Science

    Data Center Cooling: PFCC and ENEOS Collaborate on Materials R&D with NVIDIA ALCHEMI Software

    Team_AIBS NewsBy Team_AIBS NewsApril 3, 2025No Comments2 Mins Read
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    March 31, 2025 — Most well-liked Computational Chemistry Inc. (PFCC) declares that it’ll crew up with ENEOS Corp. to allow AI-driven formulation optimization of chemical compounds and supplies utilizing NVIDIA ALCHEMI software program. The collaboration was introduced at NVIDIA GTC.

    The collaboration focuses on R&D for industrial efficiency and sustainability with a give attention to such areas as lubricants and immersion cooling fluids that assist energy-efficient cooling of knowledge facilities.

    Their method will leverage PFCC’s Matlantis common atomistic simulator that facilitates AI-enabled simulations of recent chemical compounds and supplies, offering insights and developments in innovation. Computational workloads will likely be run on NVIDIA accelerated computing to reap the benefits of best-in-class {hardware} and software program. As well as, NVIDIA ALCHEMI software program and instruments will likely be used to speed up chemistry-specific computational workloads. The deployment of AI options will likely be guided by ENEOS’s substantial area experience in chemical compounds and supplies for guaranteeing that related AI strategies are deployed to find supplies that meet goal properties.

    The collaboration will initially give attention to lubricants and immersion cooling fluids for knowledge facilities, and also will goal to drive innovation effectivity and quicker time-to-market for brand spanking new merchandise together with further high-impact supplies similar to catalysts and polymers.

    Put on-resistant lubricants and coolants for knowledge facilities and thermal administration have gotten more and more essential to take care of operational efficiency and price effectiveness in trendy datacenters.  Developments in AI can speed up supplies discovery and foster innovation.





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