Go-to-market strategy for Azure HPC to win energy companies away from AWS

Azure sells high-performance computing (HPC) capacity and wants energy companies to use far more of it. The stated ambition is that every energy-sector client runs its HPC work on Azure rather than on AWS. What strategy would you put in place to get there? ```hint Follow the switching costs Ask what keeps an energy company on its current platform today. A plan that only competes on price per core-hour misses most of the reasons clients stay where they are. ``` ### Clarifying Questions - Does the energy sector here mean oil and gas exploration only, or also utilities, renewables developers and other energy research? - Are the target clients running HPC on AWS today, on their own on-premises clusters, or a mix of both? - Should success be judged by HPC consumption, by revenue, or by the number of clients that commit to Azure? - Is "every client" the literal target, or is the real aim to win the largest share of energy HPC work? ### What a Strong Answer Covers - Segmentation of energy clients by HPC workload and current setup, with a justified first segment - A diagnosis of what makes clients choose or stay with AWS, and where Azure has a credible edge - Strategy pillars spanning product, partner software, commercial offers and the sales motion, in priority order - Success metrics with guardrails such as margin and available HPC capacity - Risks, including clients that deliberately use more than one cloud and how AWS is likely to respond ### Follow-up Questions - A large client keeps years of seismic survey data in AWS storage. How do you make moving it worthwhile for them? - If AWS matches your pricing within a quarter, which parts of your strategy still hold? - How would you decide which energy accounts are not worth pursuing?