AI performance extends beyond chip metrics; it relies on integrated hardware, software, and infrastructure. Traditional benchmarks fall short, so NVIDIA DGX Cloud Benchmarking offers a standardized framework to evaluate large-scale AI workloads. NVIDIA and Azure present an end-to-end benchmarking workflow, sharing optimization strategies for deploying and tuning production-ready LLMs on Azure.
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Speaker
Hannah Coutand
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Hannah Coutand leads Product Marketing for DGX Cloud at NVIDIA, where she is responsible for go-to-market strategy, value proposition development, messaging, and sales enablement. She works cross-functionally with product, engineering, and global field operations to drive adoption and growth of the DGX Cloud portfolio. Prior to joining NVIDIA, Hannah held several roles at Intel, including leading the cloud-first strategy for the data center business and launching a software venture for industry-specific cloud services. Hannah holds an MBA from Cornell University and a BS in Chemical Engineering from the University of Virginia.
Bio from: Microsoft Ignite 2025
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