$NVIDIA Corp(NVDA)$ Nvidia's B-To The Moon - Tiger Brokers Online Investing Community - To The Moon

$NVIDIA Corp(NVDA)$ Nvidia's Blackwell chip represents a significant leap in both architecture and energy efficiency. It is designed to handle the demands of modern AI workloads more effectively, with optimizations that enhance parallel processing capabilities. This positions Nvidia favorably in a market increasingly focused on performance-per-watt, especially for data centers and AI applications. The integration of advanced manufacturing techniques and a focus on reducing power consumption could make these chips attractive for enterprises looking to scale their AI infrastructures.

Considering Nvidia's current momentum, the strong demand for AI capabilities, and the anticipated performance of the Blackwell chips, I would set a target price for Nvidia's stock in the next six months in the range of $500 to $600. This takes into account potential market volatility and competition but also reflects the robust growth prospects for Nvidia as it capitalizes on its technological advancements and market leadership.

Nvidia Rebound: Still a Long Term Bet?

Nvidia drop 2% despite exceeding expectations for the third quarter and providing strong guidance. Nvidia posted 81 cents in adjusted earnings per share and $35.08 billion in revenue. Analysts surveyed by LSEG were expecting 75 cents in earnings per share and $33.16 billion in revenue. ----------------- What's your target price for Nvidia? Head to $130 or $140 this week?

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Analysts surveyed by LSEG were expecting 75 cents in earnings per share and $33.16 billion in revenue.\n-----------------\nWhat's your target price for Nvidia?\nHead to $130 or $140 this week?","image":"https://community-static.tradeup.com/news/244ac94e60e8daa892252cac8f86d331"}],"images":[],"coverImages":[],"html":"<html><head></head><body><p><a href=\"https://ttm.financial/S/NVDA\">$NVIDIA Corp(NVDA)$&nbsp;</a><v-v data-views=\"1\"></v-v> Nvidia's Blackwell chip represents a significant leap in both architecture and energy efficiency. It is designed to handle the demands of modern AI workloads more effectively, with optimizations that enhance parallel processing capabilities. This positions Nvidia favorably in a market increasingly focused on performance-per-watt, especially for data centers and AI applications. 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