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Market Analysis: NVDAMarket Analysis: NVIDIA Over the past three to four months, NVIDIA Corporation ( NASDAQ:NVDA NVDA) has demonstrated solid performance, with its stock price increasing by approximately 4.96%. This steady growth reflects the company’s strong position in the technology sector, driven by its dominance in GPU production, AI advancements, and cloud computing. The release of its latest financial results and continued demand for AI-related technologies have kept investor confidence high. However, market volatility and broader concerns in the tech sector may have tempered the pace of its gains. Overall, NVDA remains a key player to watch, especially as AI adoption accelerates globally. Why has the title been stuck in the same range for over 90 days? Let's always keep in mind that NVDA, from the low it reached in 2022, has now experienced an increase of about 1200%, so a sideways phase is completely normal, if not expected! Let’s take a look at the chart since May 25, 2023 (599 days // 317%) We can observe how the uptrend has always been accompanied by a very important trendline, which has now been retested and invalidated, all marked by a particularly unfavorable signal: a candle that opens higher, setting a new all-time high, and closes in the negative. Nonetheless, NVDA has consistently exhibited a similar pattern – large uptrends, leaving gaps open almost everywhere, and long sideways phases, which usually lead to a breakout driven by earnings announcements. Let’s look at the examples the market provides us: We have the first upward move (1st), driven by earnings results that cause a gap up of about 20%, followed by a wide trading range in which the price remains trapped. Later (2nd), a strong bullish phase, and finally another sideways phase (3rd), all with very wide ranges! Now, the current zone is a difficult one to analyze because initially it seemed to be a bullish zone, but now appears to be more of a consolidation… So, the situation we find ourselves in now is another moment for a buy or a trend change? Let us know your thoughts in the comments!
NASDAQ:NVDA
by TIMINGTRADE
BUY NVDA (130-135)NVIDIA (NVDA) is currently trading within a well-defined channel and is approaching a strong support zone between $130 and $135, a level where buyers have historically stepped in. The recent rejection from the $155 resistance suggests a potential rebound from the lower range. This setup provides a bullish trade opportunity, with an entry around $130-$135 and a target of $170, offering a favorable risk-to-reward ratio. A stop-loss below $125 is recommended to manage risk. Signal: Buy Zone: $130 - $135 Target Price: $170 Stop-Loss: $125 If this analysis resonates with you, please like, follow, and share your insights in the comments to support more content like this.
PYTH:NVDALong
by Quinn901
1
Pre-Market Updates: NVDA Continued Pullback for the Shorts?NVDA looks to be returning to the $134s unless it holds on to this upward trend around the $436.80s and pushes back into its current trend. The pullback comes after NVDA's Jenson Wong spoke at CES and based on some financial news reports, stockholders felt something was missing. If we continue pushing down pass that $136.80 Level towards that $134 Support, we'd look for a potential entry around the $131s. Stay tuned for more by connecting with us via our website in our signature below for more Financial Investment News, Tools & Resources at @MyMIWallet #MyMIWallet
NASDAQ:NVDA
by MyMIWallet
NVDA – Buy the Dip for a Short BounceOur last NASDAQ:NVDA trade went very well. Within a few weeks we made more than 15% re-testing the ATH and generating a new one. Directly after hitting the ATH we saw a sell on good news event during the CES and the presentation of the “Home AI PC”. The perfect time to buy was yesterday minutes before markets closed. The price formed a falling wedge with a RSI divergence. Nevertheless, buying today could still give results. Target is the ATH again and invalidation point is a close below our $140 support. Target Zones $154 Support Zones $140
NASDAQ:NVDALong
by LGNDRY-Capital
1
$NVDA LongNVIDIA Corporation (NVDA) shows signs of a potential rebound based on Elliott Wave Theory and key technical indicators. The chart suggests that NVDA has likely completed a corrective Wave 4 and could be entering Wave 5, signaling a continuation of its primary bullish trend. Divergences in the Relative Strength Index (RSI), MACD, and Williams %R indicate that the recent pullback may be temporary. The RSI shows a bullish divergence, with higher lows on the indicator while the price made lower lows, a common precursor to upward momentum. The MACD has turned upward, with a bullish crossover suggesting increasing buying interest. The Williams %R, which measures overbought and oversold conditions, also shows a divergence, indicating the stock may have been oversold and could be ready to reverse. NVIDIA’s strong fundamentals, driven by increasing demand for AI infrastructure and GPUs, support this technical setup. Compared to gold and U.S. Treasury bonds, which have stabilized with minimal growth potential, NVIDIA offers significant upside as the chart signals a potential reversal and renewed bullish momentum.
NASDAQ:NVDALong
by FairValueBuffet
NVIDIA (NVDA): Will $142 or $133.92 Break First?Morning Trading Family NVIDIA is sitting at a key point, and what happens next could lead to a big move. Let’s break it down in simple terms so it’s easy to follow. If NVDA Breaks Above $142 Things could get exciting for the bulls. Here’s what to expect: Breaking above $142 could kick off a solid bull run. We’d likely see momentum push the price higher from there. If NVDA Breaks Below $133.92 The bears might take over, and these levels could show up next: $129: The first stop where some buyers might try to step in. $114: A bigger drop, which would be an important level to watch for support. Here’s the Plan -Watch $142 and $133.92—these are the key levels. -Be ready for a breakout or breakdown, but only trade when it’s confirmed. -Always manage your risk. Use stop-losses and don’t risk more than you’re comfortable losing. If you enjoyed this breakdown, give it a like or follow. Have questions about NVIDIA or any other chart? Send me a DM, and I’ll help you out. Feeling stressed or burned out from trading? You’re not alone. Let’s chat about ways to build a balanced trading mindset that helps you stay in the game for the long term. You’ve got this! Kris/Mindbloome Exchange Trade What You See
NASDAQ:NVDA
by Mindbloome-Trading
15
NVIDIA (NVDA): Breakout Levels in Sight!Good morning, trading family! NVIDIA ( NASDAQ:NVDA ) is getting close to a key resistance level at $141.87. Here’s what could happen: If the price breaks $141.87: We might see it move up to $150 and even $158 if the momentum stays strong. This is an exciting setup, so keep an eye on how the price reacts. Let’s stay focused and trade smart! Wellness Tip of the Day: Start your morning with a healthy breakfast. A mix of protein (like eggs or yogurt), healthy fats (like nuts or avocado), and slow carbs (like oatmeal or whole-grain bread) will give you steady energy and help you make sharp decisions all day. Comment, like, follow, or send me a message if you’d like more details about this trade! Kris/Mindbloome Exchange Trade What You See
NASDAQ:NVDA
by Mindbloome-Trading
Is NVIDIA Ready to Break Out or Break Down?Good morning, trading family! How’s everyone feeling today? Got your coffee? Charts ready? It’s time to dive in and see what the market has in store for us. Here’s the vibe: NVIDIA’s setting up for something big—are we aiming for $142 or sliding to $119? It’s like a game of tug-of-war, and the market’s holding the rope. Quick Tip: Remember, trading is about patience and discipline. If you’re feeling stuck, step away, take a breath, and come back with a clear head. The market’s not going anywhere. If you want a closer look at these setups or other ideas I’m watching, feel free to check out my profile or send me a DM—I’m always happy to share insights or answer questions. Let’s make it a great day! Kris /Mindbloome Exchange Trade What You See
NASDAQ:NVDA
by Mindbloome-Trading
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.
NASDAQ:NVDA
by xugina78
Nvidia (NVDA) Stock Price Falls to a Two-Month LowNvidia (NVDA) Stock Price Falls to a Two-Month Low While the Nasdaq 100 index (US Tech 100 mini on FXOpen) climbed to an all-time high, Nvidia's (NVDA) stock price dropped below $131 during yesterday's trading session for the first time since mid-October. This bearish behaviour suggests a weakening of Nvidia's leading position. What is the reason? A key driver could be the significant surge in Broadcom Inc. (AVGO) shares, a competitor to Nvidia. Following a roughly 20% price increase for AVGO in one day, another growth day followed, as we anticipated yesterday. As a result, amid Broadcom's strong forecast for 2025, AVGO shares have risen by 54% since early December, and investors may be reallocating their portfolios, selling NVDA and buying AVGO. Technical analysis of Nvidia's (NVDA) stock chart reveals a concerning picture — bears may break the lower boundary of the blue channel, which has acted as support throughout 2024. Importantly, bears managed to push the price downwards both from the $150 level and the $140 level (indicated by arrows). According to the Nasdaq exchange, NVDA's stock price in today's pre-market trading has fallen below $130. If this does not trigger demand for the stock of one of the leading companies in the AI boom, it will be another worrying signal. According to TipRanks, analysts remain optimistic for now: → 37 out of 40 analysts recommend buying NVDA shares. → The average price target for NVDA is $177 within 12 months. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
NASDAQ:NVDA
by FXOpen
1
Cautious optimism to give way to December decline for NVDA The sentiment around NVIDIA (NVDA) over the past 72 hours has been mixed but leans slightly positive. Here's what we see: Analyst Views : Analysts remain bullish, with a strong "buy" consensus and an average price target suggesting a potential 21% upside from current levels. This reflects optimism about NVIDIA’s prospects, particularly with its leadership in AI and data center technology. Seasonal Trends : Historically, December has been a weaker month for NVIDIA’s stock performance, with shares declining in 60% of Decembers over the past decade. However, this is typically followed by strong recoveries in the new year. Investor Discussions: Investors 'round the Web are expressing cautious optimism. Some highlight concerns about high valuation and broader market headwinds, while others emphasize NVIDIA's long-term growth drivers like AI and semiconductor demand. The overall mood suggests near-term caution due to seasonal and valuation factors but confidence in NVIDIA's long-term trajectory. With all this said, we see cautious optimism leading to a rise to a key resistance level in the 144.00 price range, followed by a decline in December, fueled alongside the SPY's potential crumbling.
NASDAQ:NVDA
by JC7USA
2
NVIDIA’s Next Move: Are We Headed to $160 or Dropping to $118?Good morning, trading family. NVIDIA just hit a big level, and now we’re seeing it pull back. Here’s what I’m watching: 1️⃣ First stop looks like $134.75. 2️⃣ From there, it could go one of two ways: We get a bounce, and NVIDIA pushes back up to the $160s. Or, it keeps sliding to $128-$130. If those levels don’t hold, we could see it drop even further to $118. This is one of those times where it’s all about watching the levels and letting the chart tell us the next move. Trade what you see. What do you think—are we bouncing or dropping lower? Let me know your take below, and hit like and follow if this breakdown helps. Kris/ Mindbloome Exchange
NASDAQ:NVDAShort
by Mindbloome-Trading
4
Don't Miss the Second Wave of AI Opportunities!Are you still regretting missing out on NVIDIA's 10x growth? This time, you may not need to worry. The second wave of AI is forming, and this time, the opportunities are not limited to hardware, but are fully penetrating enterprise-level applications. For investors, this is an unparalleled new window of opportunity. A Look into the Future: The Development Patterns of AI Reviewing history, from the power revolution a century ago to the internet revolution in the 1990s, we see similar development patterns. Each revolutionary technology wave will go through three key stages. Let's take the internet revolution as an example: Infrastructure Construction Stage In the late 1980s and early 1990s, the internet was just emerging, and its applications were still very limited. The companies that benefited most were those in the foundation layer, such as Cisco and Intel. The first stage of AI development was similar, with chip giants like NVIDIA driving the construction of AI infrastructure. 2. B2B Application Rise Stage In the mid-1990s, the internet gradually entered the enterprise-level application field, with CRM and supply chain management software emerging, improving corporate production efficiency. AI is currently entering this stage, with companies optimizing operational processes using AI technology to achieve cost reduction and efficiency improvement. 3. C2C Consumer-Level Application Popularization Stage In the late 1990s, various C2C killer applications began to emerge, such as Amazon, PayPal, and Yahoo!, which became familiar companies. Now that the first wave has stabilized, the question is: when will the second wave arrive in B2B applications? Many ordinary people have a feeling that AI applications are limited to chatbots like ChatGPT, and that true killer applications have not yet arrived or will take a long time to develop. As a result, some people believe that AI investment is still too early, and that what's being blown up now is just a bubble. Indeed, we can see that C2C applications are still in development and will take a long time to mature. However, in B2B applications, AI has already been widely deployed and has shown significant effects in certain specific fields. It's just that ordinary people haven't yet felt it. As investors, we must be more sensitive than ordinary people because corporate changes will be critical to the second wave of AI. The Second Wave of AI: The Golden Era of Enterprise-Level Applications The following graph is a summary of the top-ranked industries in which AI-driven companies are most likely to benefit. As for software companies like ETFIGV, we can see from their financial reports that AI is driving significant improvements in corporate operating efficiency. The following graphs show the gross margin and EBITDA margin of three typical software companies: Shopify, Salesforce, and ServiceNow. Explaination: Gross margin reflects the main product profit of software companies, while EBITDA margin reflects the company's operating profit after deducting depreciation and interest. In other words, it represents a company's ability to generate profits from limited resources. We can see that these three companies have seen significant improvements in their EBITDA margins over the past two quarters while maintaining stable gross margins. Data does not lie; this may indicate that AI is already seeing effects in enterprise-level applications. • Shopify: By optimizing internal processes using AI, it maintained stable gross margins while improving EBITDA margins and directly driving stock price growth by 30% after reporting earnings. • Salesforce: It launched its "INS Instant" AI tool to automate 370,000 tasks, saving 50,000 hours of labor time and significantly improving employee efficiency. • ServiceNow: Its AI accelerated data extraction speed by 53%, work flow efficiency by 27 times, and RPO growth by 26%, providing more powerful workflow optimization services for enterprises. These data clearly show that AI is not just a buzzword but brings actual efficiency and profitability improvements to enterprises. Snowflake: A Breakthrough in Enterprise Data Analysis Snowflake's case is more representative. This data analysis platform focuses on providing intelligent operational support to enterprises using AI technology. This quarter's RPO increased from $52 billion to $57 billion, reflecting enterprise trust in its AI capabilities. CEO's "All-in-AI" strategy not only drives data mining efficiency but also drove its stock price up by 30% after reporting earnings. Insurance Industry Digital Transformation: AIFU and BGM's Strategic Cooperation The insurance industry is an important target area for AI transformation due to its information-intensive nature. It is at the forefront of digital transformation, especially with AI technology driving it forward. AIFU's smart future has already achieved insurance industry transformation through its core product "Duxiao" platform. "Duxiao" is an AI-driven insurance platform developed jointly by AIFU and Baidu. By combining big data and AI technology, it can provide personalized insurance solutions for customers. The platform analyzes customer health insurance needs, education planning, and wealth management needs in depth and generates highly customized insurance configuration plans. This has significantly improved agent productivity and accuracy while reducing operating costs. As of December 2023, AIFU's revenue reached $31.98 billion, with a year-on-year growth rate of 14.98%. Net profit was $2.89 billion with a year-on-year growth rate of 237.25%. AIFU's PE ratio (TTM) is only 3.5 times. In comparison to industry giants such as Prudential (PUK) and AXA (AXAHY), which have PE ratios above 12 times or even higher than AIFU. AIFU's strategic acquisition of two subsidiaries by BGM on Friday includes core technology assets such as "Duxiao" platform. BGM is a global pharmaceutical and chemical company that has actively promoted its AI strategy in recent years. By integrating AI with data analysis, BGM is reshaping its business model towards a more intelligent future. How to Seize Opportunities in the Second Wave of AI? What kind of companies will ultimately succeed? I can share with you my thoughts on what kind of companies need to possess these characteristics: Strong Competitive Moat: Companies that can continuously strengthen their competitive barriers through AI. Data Monopoly Advantage: Companies that build models using high-quality private data rather than public data. Flexible Business Model: SaaS platforms with pay-as-you-go pricing models have more scalability and profitability potential. Strong Execution Ability: Agile and decisive management teams that can quickly deploy technology. Conclusion: The future belongs to those who dare to layout!
NASDAQ:NVDALong
by xugina78
NVDA to $180 or $190 in 35 days ?NVDA is re-entering an upward channel that began on August 5, 2024, when it hit a low of $90.69 following its 10:1 stock split. This movement coincides with the stock surpassing the key $140.76 high recorded on June 20, 2024, which we identify as the end of Wave 3 in its major bullish cycle . After the Wave 4 correction , which took the price from $140.76 down to a low of $90.69 on August 5, 2024, NVDA appears to have started a Wave 5 . This wave has the potential to drive the price to $180.00, or even $190.00, possibly by Friday, January 17, 2025 , the last trading session before the inauguration of President Donald Trump. Our Perspective on NVDA's Major Bullish Cycle We divide this cycle into the following stages, based on Elliott Wave theory: Wave 1 Period: May 13, 2016, to November 22, 2021 Price movement: from $1 to $34.65 (+3365%) Wave 2 Period: November 22, 2021, to October 13, 2022 Price movement: from $34.65 to $10.81 (-68%) Wave 3 Period: October 13, 2022, to June 20, 2024 Price movement: from $10.81 to $140.76 (+1202%) Wave 4 Period: June 20, 2024, to August 5, 2024 Price movement: from $140.76 to $90.69 (-36%) Wave 5 (in progress) Estimated period: August 5, 2024, to January 17, 2025 Projected price movement: from $90.69 to $180.00 (channel midpoint) or $190.00 (channel top) (+100% projected). Key Levels to Monitor $180 as the channel midpoint , and $190 as the upper limit by January 17, 2025. If NVDA exits the upward channel and breaks below $131, we will exit our position in the stock . Our opinion is for educational purposes only and should not be considered a recommendation to buy. Before making any investment, consult with your financial advisor.
NASDAQ:NVDALong
by SHGTrading
1
NVDA | Unpacking NVIDIA’s Q3 FY25Building the Matrix, One GPU at a Time This week, NVIDIA unveiled its October quarter results, capturing global attention as analysts closely monitored the stock's movements. While Wall Street often emphasizes short-term performance, a broader perspective highlights NVIDIA's remarkable rise. Over two years, its stock value has multiplied tenfold, outpacing tech giants like Alphabet and Amazon in profitability and edging closer to Microsoft and Apple in net income—a meteoric ascent for the history books. The AI Inflection Point NVIDIA's transformation began in November 2022 when OpenAI launched ChatGPT, described by CEO Jensen Huang as AI's "iPhone moment." Fast-forward two years, and NVIDIA's latest Blackwell GPU architecture is scaling up production, meeting surging demand. As Huang explained, "The age of AI is in full steam," driven by foundational model training and inference advancements. Two major trends underpin this shift: -Platform evolution:Transitioning from traditional coding to machine learning. -Emergence of AI factories:New industries powered by generative AI applications. AI native startups are booming, and successful inference services are proliferating. If AI's trajectory mirrors the mobile revolution, this is akin to 2009 a pivotal moment with much more innovation ahead. Q3 FY25 Highlights NVIDIA's fiscal year ends in January, and the recently concluded October quarter (Q3 FY25) demonstrated strong momentum: - Revenue: $35.1 billion (+17% quarter-over-quarter), exceeding expectations by $2 billion. - Segment growth:** - Data Center: +17% QoQ ($30.8 billion). - Gaming: +14% QoQ ($3.3 billion). - Automotive: +30% QoQ ($0.4 billion). - Margins: Gross margin at 75%, operating margin at 62%. - Cash flow: Operating cash flow of $17.6 billion; free cash flow of $16.8 billion. - Q4 FY25 Guidance: Anticipates +7% revenue growth ($37.5 billion). Key Drivers and Insights -Data Center Dominance:Contributing 88% of overall revenue, driven by Hopper GPUs and the anticipated Blackwell production ramp. -Gaming Growth:Propelled by GeForce RTX GPU demand and back-to-school sales. -Automotive Innovation:Growth fueled by AI-powered autonomous driving solutions. -Margins:Slight compression due to Blackwell production ramp, with recovery expected as production scales. Looking ahead, demand for NVIDIA's Hopper and Blackwell GPUs outpaces supply, likely remaining constrained into FY26. However, challenges loom, including intensifying competition from AMD and custom AI chips. The AI Scaling Debate Skeptics argue AI scalability may be approaching its limits, but Huang is optimistic, citing advancements in reinforcement learning and inference-time scaling. He emphasized that AI's growth is driven by empirical laws, suggesting scalability could be extended through methods like post-training and test-time scaling. CEO and CFO Perspectives - Huang likens modern data centers to "AI factories," producing intelligence like power plants generate electricity. - The shift to "physical AI" unlocks applications in industrial and robotics sectors, powered by NVIDIA's Omniverse. - Blackwell GPUs are delivering significant cost reductions and accelerating AI workloads. Investment Outlook Despite valuation concerns, NVIDIA's profitability is tangible. However, the company's reliance on sustained GPU demand and a concentrated customer base presents risks. Meanwhile, competition from AMD is intensifying. Final Thoughts If ChatGPT was AI's "iPhone moment," the transformation is just beginning. Like the app economy in 2009, the AI-first revolution is poised to unlock entirely new markets and reshape industries. NVIDIA's leadership positions it at the forefront of this multi-trillion-dollar opportunity.
NASDAQ:NVDA
by moonypto