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$Advanced Micro Devices (AMD.US)$ why are people still buying…? AMD = advanced money destroyer
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$Super Micro Computer (SMCI.US)$ Let me get off the car.
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$Super Micro Computer (SMCI.US)$ will go in at 18 bucks... too much manipulation
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$Super Micro Computer (SMCI.US)$ If it drops today 📉, see you next week at 25.
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$Super Micro Computer (SMCI.US)$ Bought in large quantities around 35 yesterday; bet right; getting ready to cash out at 41 for arbitrage.
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$Super Micro Computer (SMCI.US)$ (NASDAQ: SMCI) recently announced the expansion of its Silicon Valley campus, aiming to further strengthen its competitiveness in the AI server and high-performance computing (HPC) fields. As a key supplier of AI hardware infrastructure, Super Micro benefits from the AI demand surge driven by Nvidia (NVDA) and AMD (AMD), with its stock price significantly rising over the past year. However, recent market turmoil has led investors to question whether SMCI still possesses long-term growth potential or if its valuation is overheating. After expansion, can Super Micro maintain its leading position in the AI server market while addressing supply chain and market competition challenges? This article US stocks 101 will analyze whether SMCI is still a good choice for AI hardware investment from four major perspectives: financial performance, industry trends, supply chain risks, and market valuation.
Can the expansion of Silicon Valley drive the Business of AI servers to new heights?
Super Micro recently announced an expansion. Silicon Valley Production and Research Park, to meet the growing demand for AI servers. The key to this expansion is to enhance production capacity, shorten delivery cycles, and ensure the ability to quickly integrate the latest AI chips, such as Nvidia H1...
Can the expansion of Silicon Valley drive the Business of AI servers to new heights?
Super Micro recently announced an expansion. Silicon Valley Production and Research Park, to meet the growing demand for AI servers. The key to this expansion is to enhance production capacity, shorten delivery cycles, and ensure the ability to quickly integrate the latest AI chips, such as Nvidia H1...
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