Author identifies SITM as having high potential to double within 3-6 months and recommends buying now, while also viewing MRVL as undervalued. Key risks include concentration in small-cap SITM and the inherent volatility of doubling-thesis timelines.

Memory (RAM) supply constraints are the critical bottleneck for AI infrastructure expansion over the next 2-3 years, making MU undervalued given its revenue growth (2.25X in 6 quarters) outpacing NVIDIA's (2.05X) while hyperscaler CAPEX continues accelerating. MU, SK Hynix, and Samsung are the only suppliers capable of producing next-gen memory needed for both NVIDIA and hyperscaler AI chips, creating a structural supply shortage that will intensify with upcoming GPU architectures.

The author argues that AI is still in early innings of adoption despite recent bubble concerns and rotation into dividend stocks, citing low retail participation, early infrastructure buildout, and sub-single-digit business penetration as evidence of a major growth opportunity ahead. The contrarian signal of smart money rotating to safety suggests the pain trade is upward, not downward, making this a bullish setup similar to internet adoption cycles.

Marvell Technology (MRVL) is oversold following market pullback despite strong fundamentals including CEO/insider buying, positive commentary from Jensen Huang, and potential S&P 500 inclusion that would trigger automatic index fund buying. Key risks include execution on AI chip demand, competitive pressure from NVIDIA/other semiconductor players, and potential S&P 500 inclusion not materializing.

Marvell (MRVL) is positioned for significant growth due to Nvidia's endorsement and its role in AI infrastructure, though it would need to quadruple market cap to reach trillion-dollar status. However, Micron (MU) maintains a competitive advantage through superior supply-demand dynamics and HBM supply shortage pricing power, which may outpace Marvell's high double-digit growth trajectory.

User developed a custom Relative Rotation Graph (RRG) tool combining dark pool flow data with momentum analysis for tech sector stocks to track institutional accumulation and rotation patterns. The tool visualizes stocks moving through leading/weakening/lagging/improving phases based on hidden liquidity behavior; AMD appears strong while NVDA is underperforming.