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
2
talks
Product Marketing and Strategy
NVIDIA DGX Cloud
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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In today's rapidly evolving technological landscape, enterprises face significant hurdles in developing and implementing mission-critical AI applications such as agentic or physical AI. This session will explore how organizations can harness the power of NVIDIA DGX Cloud on Google Cloud, a high-performance, fully-managed AI platform, to accelerate the next era of AI. Learn how to drive innovation in an increasingly competitive landscape, and achieve lower TCO.
This Session is hosted by a Google Cloud Next Sponsor.
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