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Scaling AI inference requires building trust through data quality, adopting a data-centric AI factory approach, and empowering IT to govern and deploy models enterprise-wide.
'SmallThinker introduces a family of efficient large language models specifically designed for local device deployment, offering high performance with minimal memory and compute requirements. These models set new standards in on-device AI capabilities across multiple benchmarks and hardware constraints.'
Explore how optimizing AI inference can enhance performance, lower costs, boost privacy, and improve customer experience in real-time applications.
Phillip Burr, Head of Product at Lumai, shares insights on how 3D optical computing is transforming AI performance and energy efficiency, offering a sustainable future for data centers.
NVIDIA Dynamo is a cutting-edge AI framework designed to optimize large-scale inference workloads, boosting performance and reducing costs for real-time AI applications across industries.