2024-09-02 09:00:08
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Navigating Wall Street's Influence on Technology Decisions
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The Street
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Nvidia reported record Q2 revenue of $30.04B, doubled profits, and forecast $32.5B in Q4 revenue, driven by strong demand for its AI chips including the upcoming Blackwell GPUs and existing Hopper chips, despite Blackwell shipment delays. Analysts cited Nvidia's 90% market share in data center accelerator chips, aggressive product launch cadence, diversified customers, and expanding AI opportunities as strengths, though profit margin guidance of 75% was a concern. Nvidia redesigned the Blackwell..
The Street
7 takeaways from Nvidia's big earnings report TheStreet Daily Newsletter
Technology
Finance
Economy
Nvidia reported record Q2, but stock fell on Q3 guidance. Blackwell GPU delayed, Hopper GPUs strong. CEO says CPU scaling slowing, computing demand doubling. Nvidia announced $50 billion buyback, has $3 trillion market cap. Whisper revenue estimates were around $32 billion. Operating expenses growing in mid-to-upper 40% range.
The Street
Veteran fund manager unveils startling Nvidia stock forecast TheStreet Daily Newsletter
Finance
Technology
Economy
Nvidia, the AI powerhouse, faces slowing growth and valuation concerns. Its Q3 revenue guidance shows a slowdown, and its stock price is trading 10% below its June peak despite the S&P 500 reaching new highs. Concerns include supply-demand imbalance, AI adoption pace, and production challenges. Nvidia's profit margins have peaked, and the success of its Blackwell chips is crucial to justify its valuation, which has a trailing P/E of 74 and a forward P/E of 43. However, Nvidia's Q2 results showed..
Yahoo Finance
Don’t let Wall Street irrationality drive technology decisions
Economy
Technology
Finance
NVIDIA, a leading AI innovator, reported $30bn earnings, a 122% increase, but its stock price dropped due to Wall Street's irrational expectations. Enterprises should focus on NVIDIA's financial health, not stock market fluctuations, and exercise caution in the current AI bubble and hype cycle, resisting FOMO when making strategic technology decisions, not letting financial pundits' lack of expertise derail their strategy. Enterprises should invest in AI and AI technologies only with a good use..
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