Indian AI Chip Startup Ceremorphic Enters Drug Development


Samsung and Broadcom have reached a long-term deep cooperation, covering the entire supply chain of memory chips, foundry, and advanced packaging. It is expected that by 2030, the scale of cooperation will break through $200 billion, marking that AI chips have entered a stage of 'design plus manufacturing' deep integration. The core technology is Broadcom's ASIC custom design capabilities combined with Samsung's manufacturing. The two companies will jointly tackle challenges in sub-2nm process technology and HBM high-bandwidth memory fields.
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.