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In the first wave of cloud computing, companies moved many workloads from private data centers to the public cloud, paying only for what they used. Now, better ways to manage the massive resources of the public cloud, along with breakthroughs in AI, are making computer clusters available to more businesses and agencies. AI on the public cloud can make sense of large volumes of data by facilitating the construction of “trained models”. Many AI startups are testing and building powerful AI models in a cost-effective way using cloud-based clusters. Going forward, more companies of all sizes will be able to deploy cloud-based clusters to solve scientific and engineering problems.
