Micron Technology Achieves Revenue Growth for Six Consecutive Quarters, Driven by Demand for AI Chips


Google's self-developed TPU transforms into commercial use, collaborating with Broadcom to provide AI infrastructure for customers such as Anthropic, directly targeting NVIDIA's 86% market share. With cost and system advantages, the commercialization process is accelerating, reshaping the competitive landscape of AI chips.
Samsung Electronics is facing a production capacity crisis due to the surge in demand for AI chips and plans to build an advanced semiconductor packaging factory in Gwangju, South Korea, to expand its production capacity. Meanwhile, the company also announced a diversified investment strategy, including advancing the robotics industry in Gumi.
Cerebras Systems successfully went public in 2026, raising $5.5 billion through its IPO, and its valuation surged to approximately $60 billion, making its founder a billionaire. The company was founded in 2016 and focuses on AI chip manufacturing, but it nearly went bankrupt in 2019, with monthly expenses of $8 million, almost exhausting its funds.
British semiconductor company Arm announced that its first self-developed AI chip is expected to generate $2 billion in sales next year, as market demand is strong. This move marks a significant breakthrough for Arm in the AI field. As a subsidiary of SoftBank, Arm holds a key position in the global semiconductor market, with its technology widely used in electronic devices. The launch of the new chip comes at a time when AI technology is rapidly developing and the demand for high-performance computing is increasing.
Meta has signed an infrastructure agreement worth up to 27 billion dollars with cloud service provider Nebius, ensuring sufficient advanced computing power for the next five years to cope with global AI competition. The agreement includes 12 billion dollars in dedicated computing capacity and 15 billion dollars in optional expansion, highlighting Meta's urgent need for computing power reserves.