To The Moon

DeepSeek caused a stir in the U.S. financial market on Monday but quickly rebounded in the following days. This is a good time to reassess your AI portfolio to uncover the next big opportunity beyond Nvidia. The three pillars driving the AI revolution are Compute, Data, and Algorithms.

This article is written by Shernice, if you like my article please hit the like button or do a repost. 

1. Compute Chips

General Purpose: $NVDA (90% GPU market share), $TSM, $MU

Customized Chips:

$AVGO (Broadcom): ~70% of customized AI chip market

$MRVL (Marvell): 13-15% market share, expected to grow

Tech giants developing in-house chips: $META, $GOOGL, $AMZN, $MSFT

Notable Developments:

Broadcom: Developing ASICs for Google (TPU Trillium) and Meta

Marvell: Focusing on AI-specific workload acceleration

Meta: MTIA v2 chip shows 3.5x performance increase over v1

Energy

$VST, $CEG, $GEV, $OKLO, $NNE, $SMR

Data Centers

$ANET, $NBIS, $INOD, $VRT, $SMCI, $DELL, $CLS, $AMZN, $ORCL, $MSFT, $GOOGL, $CORZ

2. Data

Content

$RDDT, $CRM, $META, $GOOGL

Cloud Storage

$DDOG, $SNOW, $NOW, $GTLB

3. Algorithms

$TSLA, $PLTR, $META, $GOOGL, $MSFT, $AMZN, $NVDA

Market Outlook

AI chip market projected to reach $91.18 billion by 2025, growing at 45.2% CAGR

Custom AI chip market share expected to rise from 11% in 2024 to 15% in 2030

Meta plans to spend $37 billion on digital infrastructure in 2024

GPU market valued at $65.3 billion in 2024, driven by AI applications

Generative AI market projected to surpass $200 billion by 2030

The AI revolution is rapidly evolving, with customized chips playing an increasingly crucial role. While NVIDIA maintains dominance in GPUs, companies like Broadcom and Marvell are gaining ground in the customized AI chip market. Tech giants are also developing in-house solutions to reduce reliance on external suppliers, as evidenced by Meta's MTIA chip advancements.

@TigerPM  @Daily_Discussion  @Tiger_comments  @TigerStars  @TigerObserver