AI Reference Designs to Enable Adoption: A Collaboration Between Schneider Electric and NVIDIA
Hello,
AI is reshaping our world, revolutionizing work, play, and learning. But to unlock AI's true potential, powerful foundational models need training on specialized accelerators. Vance Peterson, Global Solution Architect at Schneider Electric, shares his insights on pressing topics like scalability and infrastructure management, energy efficiency and sustainability, as well as data integration and security.
Discover how Schneider Electric and NVIDIA's collaboration is leading the charge—transitioning from GPU supplier to supercomputing powerhouse with AI clusters like SuperPODs, bringing faster, lower-risk AI deployment to every industry.
Whether you're in tech, data management, or simply interested in AI's impact on the future of data centers, this conversation provides essential perspectives on the evolving operational landscape.
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AI Reference Designs to Enable Adoption: A Collaboration Between Schneider Electric and NVIDIA
AI's impact is rapidly spreading across industries, with new applications constantly emerging. This will fundamentally change how we work, play, and learn. But before AI can truly become a powerful tool for society, foundational models need to be trained. These models require fast specialized chips called accelerators, with NVIDIA GPUbased compute as the dominant accelerator type. NVIDIA itself is evolving from a GPU component supplier to a supercomputer and software stack vendor. NVIDIA now offers server boards, servers, and SuperPODs (AI clusters) to fast-track AI deployment with lower risk.
Explore the collaboration Between Schneider Electric and NVIDIA.