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Automated Energy Efficiency for the Intelligent Business

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AI, HPC lead the way for materials innovation: Here's how

The adoption of AI and high-performance computing (HPC) is transforming materials innovation for research and development teams in sustainable energy, science, and healthcare alike.

This white paper explores how HPC and AI empower R&D teams to accelerate the discovery of new materials, addressing global challenges.

Highlights include:

  • AI models and cloud HPC enable researchers to screen millions of material candidates in days.
  • Microsoft and partners like Pacific Northwest National Lab discover materials for energy storage.
  • Johnson Matthey uses Azure HPC and quantum-ready workflows to speed up chemistry simulations.

Read the white paper to discover how AI and HPC unlock a new era of discovery.

These are also closely related to: "Automated Energy Efficiency for the Intelligent Business"

  • GPUs for AI: Core benefits, phased adoption approach, & more

    Why leverage graphics processing units (GPUs) today?

    Well, for one, many businesses like yourself have an insatiable appetite to build, operate, and service all things AI. GPUs are well-suited for AI because they’re designed for parallel processing and can easily handle complex calculations

    To unlock the power of GPUs for your organization, and put them to work to underpin your valuable AI workloads, watch this webinar hosted by Jeff Chu from Penguin Solutions to discover:

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  • HPC, AI, & Quantum: The fabric of faster product development

    Advancements in high-performance computing (HPC), AI, and quantum technologies are already transforming scientific discoveries, as scientists hunt for new molecules to tackle today’s most pressing challenges—like climate change and food insecurity.

    Can you similarly capitalize on the advantages of HPC, quantum computing, and AI together? In a word, yes.

    Download this white paper to examine how these technologies accelerate scientific discovery with concrete examples like:

    • Azure Quantum Elements compresses 250 years of chemistry into 25 years
    • Automated workflows scale molecular dynamics simulations for faster innovation
    • AI models screen millions of materials to identify promising candidates

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