The rapid AI expansion is causing a shortage of high-bandwidth memory (HBM) needed for AI accelerators, benefiting companies like Micron and SK hynix. However, Nvidia is reportedly testing Rubin Ultra GPUs with reduced memory (192GB-288GB) due to supply constraints, potentially lowering memory sales. Despite this, performance drops significantly below 500GB, and the industry trend is toward larger memory capacities (500GB-1TB) in future products. This suggests Nvidia's move is a temporary supply-driven compromise, not a shift in demand. For Micron investors, the risk of lower memory specs is real but likely short-term, with AI workloads continuing to drive strong memory demand.
SpaceX's $8 billion acquisition of Grain Management's nationwide low-band spectrum caused major telecom stocks like T-Mobile, Verizon, and AT&T to drop sharply due to fears of increased competition. However, experts suggest this sell-off may be an ov...
Micron Technology's stock price remains subdued despite strong AI-driven growth prospects and robust fundamentals. The company has secured $150 billion in revenue through 2031 and $32 billion in cash commitments, providing long-term visibility and re...
U.S. semiconductor manufacturing capacity is expected to grow quickly due to concerns over energy security and geopolitical risks affecting Taiwan's chip industry. The First Trust Nasdaq Semiconductor ETF (FTXL) provides focused exposure to U.S. chip...
Micron Technology's stock could fall to $400 by June 2027, a 61.1% drop from its recent close, if it follows a price pattern similar to the Dot-com bubble era. This potential correction is based on technical analysis comparing Micron's current AI-dri...
Investors heavily bought put options in the semiconductor sector, especially in Micron and Nvidia, indicating bearish sentiment. Over 180,000 puts traded in the SMH semiconductor ETF by midday, nearly four times the call volume, with $46 million prem...
