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Micron, the semiconductor company, has announced plans to significantly expand its chip assembly and testing facilities in India in the upcoming year. Speaking at the Semicon India 2026 inaugural, Micron CEO Sanjay Mehrotra highlighted the country's strong foundation in semiconductor development, thanks to the recent semiconductor policy push. Previously, discussions about India's semiconductor potential had been ongoing for decades, but now, Mehrotra noted, there is tangible execution taking place.
Mehrotra emphasized that Micron has been operating in India for seven years, employing more than 7,000 people directly, and indirectly supporting tens of thousands of jobs across the value chain. Earlier this year, the company initiated commercial production at a semiconductor assembly and test facility in Sanand, Gujarat, marking the first such project under the India Semiconductor Mission.
The current production capacity at this facility already surpasses the memory required for India's entire laptop market, according to Mehrotra.
The CEO explained that Micron designs memory chips in Bangalore and Hyderabad while assembling them in Gujarat, shipping the finished products to customers worldwide, including every continent. This year, Micron plans to assemble and test tens of millions of chips at its Sanand facility, with production set to increase to hundreds of millions of chips the following year.
Mehrotra attributed Micron's rapid growth in business to the rising demand for memory chips, driven by the increasing adoption of artificial intelligence. He stressed that AI's defining aspect is data, with no model possible without it, and that data cannot effectively move, scale, or generate results without sufficient memory and storage.
As AI models continue to grow in size, the demand for memory will intensify, necessitating faster, denser, and more energy-efficient memory solutions. Mehrotra affirmed that Micron is committed to providing such memory technologies.
Written by urgent.news from Economic Times Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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