Micron Ventures, the corporate venture capital arm of Micron Technology, is deploying fresh capital into emerging artificial intelligence technologies as the company positions itself for rising demand in AI computing and the semiconductor hardware that supports it. The firm already operates a $300M fund focused on early-stage deep-tech startups working on sustainable computing infrastructure, advanced AI and machine learning solutions. Its portfolio includes SambaNova Systems, Weka and Paperspace, giving it exposure to AI hardware, data platforms and cloud-based GPU infrastructure (graphics processing hardware used for parallel computing). The investment push sits alongside Micron’s broader U.S. plans to spend more than $250B on AI memory manufacturing through 2035. As one of the world’s three major DRAM (dynamic random-access memory) manufacturers, alongside Samsung and SK Hynix, Micron is seeking both direct manufacturing growth and early visibility into startups that could drive the next wave of memory demand. Fund II, announced in 2022 with approximately $200M in commitments, underscored institutional backing for that strategy. The focus on sustainable computing also reflects a core AI bottleneck: moving data between processors and memory consumes a meaningful share of system energy, making memory efficiency increasingly valuable as AI data centers scale. That strategic logic is becoming more important as SK Hynix has established a leading position in high-bandwidth memory (stacked memory designed for fast data transfer) used in Nvidia’s AI accelerators, while Samsung is investing heavily in its own AI memory technologies.