Sell GPUs to a retail CEO
NVIDIAData Scientist · HR Screen
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This question evaluates a candidate's ability to build a business and technical case for deploying GPUs across enterprise analytics and AI workloads, testing competencies in ROI/TCO modeling, workload discovery, pilot planning, stakeholder alignment, risk identification, and crafting data‑backed rebuttals.
You’re pitching NVIDIA GPUs to Walmart’s CEO. Outline discovery (candidate workloads like demand forecasting, route optimization, computer vision, LLMs), quantify ROI with a quick TCO model vs CPU (capex/opex, utilization, latency‑to‑revenue), propose a phased pilot with success metrics and acceptance thresholds, identify stakeholders/risks (edge deployment, vendor lock‑in, data security, ESG), and prepare rebuttals to three common objections using data. Conclude with a clear ask and 90‑day timeline.
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