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The milestone comes just three months after Nvidia became the first company to cross the $4 trillion milestone. Its stock has surged more than 50% so far this year, buoyed by seemingly insatiable demand for its graphics processing units (GPU), which are being used widely in data centers for training large language models, inference, and more. Nvidia’s GPUs are valuable because they’re scarce — and by trading them directly into an ever-inflating data center scheme, Nvidia is making sure they stay that way.
More generally, tech stocks have surged this year on optimism that AI tech stands to revolutionize industries across the world, similar to how the advent of the internet changed business. Over the past year, investors have been encouraged by a spree of multibillion-dollar deals — several of which had Nvidia at the center — to spur the development of data centers and infrastructure to build the compute capacity for resource-intensive AI models. In September, Nvidia announced that it would invest up to $100 billion in OpenAI, another beneficiary of the AI boom, in the coming years. Both companies said at the time that they intend to deploy 10GW worth of Nvidia systems to power OpenAI’s systems.