NVIDIA's Declined over 10%, Why? When will be the Buy timing?
NVIDIA fell nearly 4% today before narrowing the loss to 1.22%. Since hitting a record closing high of $148.88 in early November, the AI chip maker's stock has dropped over 10%.
So, what is causing NVIDIA's decline?
Firstly, Supply Chain Issues and Challenges
NVIDIA faces multiple challenges in its supply chain, a significant factor in its stock decline.
First, according to the latest data, the order volume and schedules for the GB200 and GB300 have been adjusted. Particularly, the mass production and shipment of GB series products have been postponed until after the Lunar New Year in February, increasing market uncertainty. Additionally, the small-scale production plans for GB300 face tight deadlines, putting pressure on GB200's mass production.
Specific supply chain issues include CoWoS-L packaging technology, heating problems, copper cable connections, and leakage issues. These not only affect product yield rates but also increase system integration time costs. Consequently, NVIDIA has suggested customers purchase the B200 8-card HGX as a transitional solution, and clients like Microsoft are considering switching their orders. These supply chain issues affect NVIDIA's product delivery capabilities and reduce market expectations for its future performance.
Secondly, Market Competition and Narrative Changes
ASICs are gaining market recognition as a competitive narrative.
ASICs are chips designed for specific tasks, akin to custom running shoes for a race. For certain tasks, ASICs outperform NVIDIA's GPUs (widely used for computing tasks) and are potentially cheaper.
OpenAI co-founder Ilya and industry leaders like Microsoft's CEO Satya have started discussing the importance of not only training AI models but also ensuring they can quickly and accurately make decisions in real applications. This shift in perspective gives ASICs an advantage in some scenarios, as they are designed for rapid, precise execution of tasks.
This raises questions about the cost of NVIDIA's GPUs. While powerful, they are expensive and require significant electricity and cooling. As ASICs perform better at lower costs for some tasks, there's consideration of replacing NVIDIA's GPUs with ASICs.
Additionally, changes in scaling law narratives and the strengthening of inference narratives pose threats to NVIDIA.
Scaling laws suggest that increasing AI model size (e.g., more neurons or layers) typically improves performance, but these gains are not infinite and require significant computational resources. This means NVIDIA must continually invest resources to improve product performance, potentially increasing costs.
Moreover, companies like BTC, Tesla, and Google are investing heavily in their own AI chips or solutions. This intensifies market competition and challenges NVIDIA's leadership.
Thirdly, Market Sentiment and Capital Flows
Market sentiment and capital flow significantly impact NVIDIA's stock price. As the year ends, retail investors, ETFs, and institutions adjust their portfolios. Fluctuations in tech giants like Microsoft, Apple, and Google affect tech stocks like NVIDIA. Investors are more cautious, favoring stable, promising companies.
Given these conditions, NVIDIA faces pressure on its stock price due to supply chain issues and competition. Lowered expectations for NVIDIA's future performance lead to capital outflows and stock price declines.
Fourthly, Future Outlook and Catalysts
Despite current challenges, NVIDIA has opportunities for a turnaround.
First, NVIDIA needs to resolve supply chain issues, improve product yield, and delivery capabilities. Second, strengthening its presence in software and applications is crucial to addressing market competition. Additionally, NVIDIA should explore new computing narratives to expand its computing potential.
Fifthly, Technical Analysis and Price Divergence
Previously, prices rose continuously, but volume and KDJ began to decline, showing divergence. Without capital support, upward momentum was insufficient, leading to a short-term adjustment and a break below the mid-term trend line, resulting in a mid-term callback.
When Might a New Rally Occur?
From a technical analysis perspective: After two prior mid-term adjustments, breaking the downward trend line may signal the start of a new rally. Thus, this new rally must first break the resistance line.
From a catalyst perspective: While January's CES and the earnings release in late February may not bring major surprises, March's GTC is worth anticipating. NVIDIA needs to showcase new technologies and products at this event to restore market confidence. If NVIDIA can introduce groundbreaking innovations, a stock rebound is possible.
So, what is causing NVIDIA's decline?
Firstly, Supply Chain Issues and Challenges
NVIDIA faces multiple challenges in its supply chain, a significant factor in its stock decline.
First, according to the latest data, the order volume and schedules for the GB200 and GB300 have been adjusted. Particularly, the mass production and shipment of GB series products have been postponed until after the Lunar New Year in February, increasing market uncertainty. Additionally, the small-scale production plans for GB300 face tight deadlines, putting pressure on GB200's mass production.
Specific supply chain issues include CoWoS-L packaging technology, heating problems, copper cable connections, and leakage issues. These not only affect product yield rates but also increase system integration time costs. Consequently, NVIDIA has suggested customers purchase the B200 8-card HGX as a transitional solution, and clients like Microsoft are considering switching their orders. These supply chain issues affect NVIDIA's product delivery capabilities and reduce market expectations for its future performance.
Secondly, Market Competition and Narrative Changes
ASICs are gaining market recognition as a competitive narrative.
ASICs are chips designed for specific tasks, akin to custom running shoes for a race. For certain tasks, ASICs outperform NVIDIA's GPUs (widely used for computing tasks) and are potentially cheaper.
OpenAI co-founder Ilya and industry leaders like Microsoft's CEO Satya have started discussing the importance of not only training AI models but also ensuring they can quickly and accurately make decisions in real applications. This shift in perspective gives ASICs an advantage in some scenarios, as they are designed for rapid, precise execution of tasks.
This raises questions about the cost of NVIDIA's GPUs. While powerful, they are expensive and require significant electricity and cooling. As ASICs perform better at lower costs for some tasks, there's consideration of replacing NVIDIA's GPUs with ASICs.
Additionally, changes in scaling law narratives and the strengthening of inference narratives pose threats to NVIDIA.
Scaling laws suggest that increasing AI model size (e.g., more neurons or layers) typically improves performance, but these gains are not infinite and require significant computational resources. This means NVIDIA must continually invest resources to improve product performance, potentially increasing costs.
Moreover, companies like BTC, Tesla, and Google are investing heavily in their own AI chips or solutions. This intensifies market competition and challenges NVIDIA's leadership.
Thirdly, Market Sentiment and Capital Flows
Market sentiment and capital flow significantly impact NVIDIA's stock price. As the year ends, retail investors, ETFs, and institutions adjust their portfolios. Fluctuations in tech giants like Microsoft, Apple, and Google affect tech stocks like NVIDIA. Investors are more cautious, favoring stable, promising companies.
Given these conditions, NVIDIA faces pressure on its stock price due to supply chain issues and competition. Lowered expectations for NVIDIA's future performance lead to capital outflows and stock price declines.
Fourthly, Future Outlook and Catalysts
Despite current challenges, NVIDIA has opportunities for a turnaround.
First, NVIDIA needs to resolve supply chain issues, improve product yield, and delivery capabilities. Second, strengthening its presence in software and applications is crucial to addressing market competition. Additionally, NVIDIA should explore new computing narratives to expand its computing potential.
Fifthly, Technical Analysis and Price Divergence
Previously, prices rose continuously, but volume and KDJ began to decline, showing divergence. Without capital support, upward momentum was insufficient, leading to a short-term adjustment and a break below the mid-term trend line, resulting in a mid-term callback.
When Might a New Rally Occur?
From a technical analysis perspective: After two prior mid-term adjustments, breaking the downward trend line may signal the start of a new rally. Thus, this new rally must first break the resistance line.
From a catalyst perspective: While January's CES and the earnings release in late February may not bring major surprises, March's GTC is worth anticipating. NVIDIA needs to showcase new technologies and products at this event to restore market confidence. If NVIDIA can introduce groundbreaking innovations, a stock rebound is possible.
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