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$NVDA Bull Flag Pattern A bull flag bullish pattern appears to be forming, suggesting potential upside momentum. The key question is whether Nvidia will break out following tomorrow's earnings report. If the results exceed expectations, it could serve as the catalyst needed to propel the stock higher, confirming the bull flag and potentially triggering a strong upward move. Traders will be closely watching for a decisive break above recent resistance levels, which could set the stage for further gains. #SPX500 AMEX:SPY NASDAQ:QQQ NASDAQ:NVDA #Nvidia #ES_F #NQ_F
NASDAQ:NVDALong
by AlgoTradeAlert
Nvidia Stock Soars On Blowout GuidanceSoaring demand for the chips needed to train the latest wave of generative artificial intelligence systems such as ChatGPT led Nvidia to issue a revenue forecast far ahead of Wall Street expectations, prompting a surge in its stock price in after market trading. The US chipmaker on Wednesday said it expected sales to reach 11bn dollar in the three months to the end of July, more than 50 per cent ahead of the 7.2bn dollar analysts had been expecting and confirming its position as the biggest short-term beneficiary of the AI race that has broken out in the technology industry. The forecast fuelled a 27 per cent leap in Nvidia’s shares, which had already more than doubled since the start of the year, and lifted its stock market value to a record 960 bn dollar. Jensen Huang, chief executive, said the company was “significantly increasing our supply to meet surging demand” for its entire family of data centre chips, including the H100, a product launched this year that was designed to handle the demands of so-called large language models such as OpenAI’s GPT4. The race in the tech industry to develop larger AI models has led some customers to worry privately about a shortage of H100 chips, which only went on sale earlier this year. However, Nvidia’s $4.28bn in sales to data centre customers in its latest quarter topped even the most optimistic analysts’ forecasts, and the company said there had been strong sales of both the H100 and its A100 chips, based on its previous chip architecture. Nvidia’s forecast noted a potential doubling of sales to data centre customers in three months, even though data centre sales were running at an annualised rate of $17bn in the opening quarter of this year. Growth is coming from customers across the board, Kress said, with consumer internet companies, cloud computing providers and enterprise customers all rushing to apply the generative AI to their businesses. The bullish forecast came as Nvidia reported revenue and earnings in its latest quarter, to the end of April, had also topped forecasts, thanks to a jump in sales to data centre customers as demand for AI took off. Revenue reached $7.19bn, up 19 per cent from the preceding three months but down 13 per cent from the year before, as sales of chips for gaming systems dropped. Earnings per share rose 22 per cent from a year before to 82 cents, or $1.09 on the pro forma basis Wall Street judges the company. The consensus view on Wall Street had been for revenue of $6.52bn and pro forma earnings of 92 cents a share. now let's delve into the numbers. Nvidia's different business units did not all perform equally well during the quarter - which can be expected, of course. Nvidia's data center business grossed revenues of $4.3 billion during the first quarter, which represents a new record high. Data center demand is not very cyclical, and companies kept investing in new equipment despite a potential recession being on the horizon. This can be explained by the fact that data centers are mission critical for many companies, so they don't really have a lot of choice when it comes to allocating capital to this space. Strong data center sales also have been seen in the results of other chip companies such as Advanced Micro Devices (AMD). Both Nvidia and AMD also were able to benefit from the weak performance of their competitor Intel (INTC), as Intel has been losing market share in the data center space in recent quarters due to self-inflicted problems and an unconvincing product line-up. Nvidia is a major graphic chip or GPU player and is thus heavily impacted by the performance of related end markets. This includes both cryptocurrency mining and gaming. While some cryptocurrencies can't be mined with GPUs economically, such as Bitcoin, others, such as Ethereum, can be mined with GPUs. Ethereum moved from a proof-of-work model to a proof-of-stake model in the fall of 2022, but some miners still use GPUs for Ethereum mining. Not surprisingly, Nvidia's sales to this end market depend on the price for cryptocurrencies - when cryptocurrencies are expensive, miners are more eager to acquire additional GPUs and they may also be willing to pay high prices for them. During times when cryptocurrencies are less expensive, mining is less profitable, and GPU demand from cryptocurrency miners wanes. This has had an impact on Nvidia's sales in the past and likely played a role in Nvidia's Q1 sales as well. GPU sales have been under pressure in recent quarters due to lower demand by gamers as well. Many that like to play video games upgraded their hardware during the lockdown phase of the pandemic when staying at home meant that consumers had more time for video games. With many gamers having relatively new equipment, demand has declined in the recent past. At the same time, inflation pressures consumers' ability to spend on discretionary goods. On top of that, some consumers prefer to spend their money on experiences over things now as there are no lockdowns or travel restrictions in place any longer. All in all, this has resulted in a difficult macro environment for Nvidia's gaming business. Combined, the headwinds for the gaming market and the cryptocurrency market explain why Nvidia's sales and profits kept declining during the most recent quarter, relative to the results the company was able to generate one year earlier. The strong performance in the data center space was not enough to offset the headwinds Nvidia experienced in other areas. I personally going to take huge profit right now and wait for 250 $ levels
NASDAQ:NVDA
by moonypto
5
NVIDIA Earnings Tonight: Stock Approaches Key ResistanceNVIDIA Technical Analysis and Earnings Overview Technical Analysis: Looking at the daily chart for NVIDIA (NVDA), the stock has been trading within an upward channel, indicating a continued bullish trend. The current price is around $128.30, within a key resistance zone just below $135.63. - Support Levels: Primary Support: $115.11 - This is a significant support level where the stock could potentially find buying interest if the price retraces. Secondary Support: $95.30 - A deeper retracement could see the price testing this level, but it would require a significant shift in market sentiment. - Resistance Levels: Immediate Resistance: $135.63 - The stock is currently testing this resistance level. A breakout above this could lead to further gains. Next Major Resistance: $149.54 - If the stock breaks above the current resistance, the next target could be around this level. The chart suggests that NVIDIA could continue its upward momentum, especially if it breaks above the $135.63 resistance. The shaded area in the chart indicates the price channel, suggesting that the stock could reach the upper boundary of the channel if the bullish momentum continues. Earnings Overview: NVIDIA is scheduled to report its earnings after the U.S. market closes today. This earnings report is highly anticipated due to NVIDIA's pivotal role in the AI and semiconductor industries, both of which are experiencing significant growth. Earnings Expectations: Investors and analysts are looking closely at NVIDIA's performance, especially in the AI sector, which has been a key driver of the company's growth. Any guidance on future earnings, particularly related to AI chip demand, will likely have a significant impact on the stock's movement. Market Reaction: If NVIDIA reports strong earnings and provides optimistic guidance, we could see the stock breaking through the $135.63 resistance and pushing toward the $149.54 level. Conversely, if the earnings disappoint or the guidance is weaker than expected, the stock could pull back to the support levels mentioned earlier. In summary, NVIDIA's technical setup remains bullish, but the upcoming earnings report will be a critical catalyst that could either propel the stock higher or lead to a correction. Traders should watch for the earnings release and the market's reaction closely to determine the next move in the stock.
NASDAQ:NVDALong
by SroshMayi
NVDA New ATH Inbound Technical reasons for a move to the upside are as follows 1 - 1 Fib Extension gives us $155 TR Pocket pull gives us $154 - $157 for more confluence, and finally we have Pivots at $152. All aligning in the same region I expect price to eventually gravitate to the upside . Not necessarily all on earnings day but never say never . Market structure is also in a bullish uptrend HTF. With that in mind we have these strong technicals/confluence to expect all time highs to be taken out $140.76.*ATH come Earnings Release. I dont advocate blindly longing up here though as the last opportunity to long was back in July but if you trade the INDEX Futures then you can use this as a potential compass into taking a Long * NQ for example . I dont look at Fundamentals but it was brought to my attention that the CEO has been selling vast amounts of stock which is publicly displayed if you care to investigate . So its possible that he knows something that we dont and maybe the results that are announced tomorrow dont meet expectations . if thats the case then of course be prepared for a move to the downside before continuation to the upside but bear in mind that NVDA have beaten expectations 4 X previously and have lucrative partnerships in the tech space and AI is still in its infancy so anything can happen . I remain bullish on the sector and NVDA especially Results are announced after market close Wed 29 Share and Like to support my work
NASDAQ:NVDALong
by SJTRADESFUTURES
2
Stock Surge Leaving Bitcoin Behind? Stock Surge Leaving Bitcoin Behind? The longstanding correlation between the Nasdaq and Bitcoin took a hit today as the two markets diverged, signaling potential shifts in investor sentiment. This breakdown could be a precursor to broader market volatility, particularly as Nvidia prepares to release its much-anticipated earnings report tomorrow. Nvidia initially opened lower today but reversed course, closing up 1.6%. The stock has rallied nearly 10% in August, fueled by bullish commentary from customers who are continuing to invest heavily in data centers and Nvidia-based infrastructure. This optimism has set a high bar for tomorrow’s earnings. Bitcoin, meanwhile, is trading at $62,000, about 25% above its lowest point this month. However, the cryptocurrency is potentially facing stiff resistance at $65,000. This struggle at a key technical level could be a signal of waning risk appetite. The Federal Reserve’s potential rate cuts are also a double-edged sword for Bitcoin. While lower rates typically boost risk assets, there’s a growing concern that such a move could indicate deeper economic troubles ahead. On the bullish side, Paul Christopher, head of global investment strategy at Wells Fargo, recently likened the current market environment to 1995, when the S&P 500 soared to 77 all-time highs. If history repeats itself, stocks could be on the cusp of a rally not seen in nearly three decades.
BLACKBULL:BTCUSD
by BlackBull_Markets
NVDA: The market anticipates Nvidia's Q2 earnings reportInvestors and analysts are keenly focused on Nvidia Corporation as it prepares to release its Q2 earnings this Wednesday. Nvidia, a powerhouse in the artificial intelligence industry, has been at the forefront of producing cutting-edge chips for data centres, which is crucial for developing AI models. The company's products are in high demand, serving a diverse customer base from tech behemoths like Microsoft to innovative startups like OpenAI. For the second quarter, Nvidia's management has projected a staggering 28 billion USD in total revenue, following a robust Q1 performance during which the company garnered 26 billion USD, surpassing its initial 24 billion USD forecast. The market is optimistic, anticipating that the Q2 results might exceed expectations, similar to the previous quarter. Technical analysis of NVIDIA Corporation (NASDAQ: NVDA) Exploring potential trading opportunities based on Nvidia's stock performance ahead of the earnings report: Timeframe : Hourly (H1) Current trend : the stock is showing an upward trend on a daily scale, with prices consolidating in a narrow range on the hourly chart as the market waits for the earnings announcement Short-term target : the immediate upside target is set at the resistance level of 130.00 USD Medium-term target : breaking past the 130.00 USD resistance could open the pathway to further gains, potentially reaching the yearly high of around 140.00 USD Key support : currently established at 123.00 USD Reversal scenario : if the price drops below the critical support level at 123.00 USD, it could negate the bullish outlook and lead to a potential decline towards the next support level around 115.00 USD Market impact The upcoming earnings report from Nvidia is poised to influence market sentiment significantly and could catalyse movements across the broader US stock market. A report surpassing expectations may propel Nvidia's stock and lift broader market indices, while a disappointing outcome could trigger a corrective phase in Nvidia shares and dampen market sentiments. Investors should stay tuned for the earnings release, which will provide critical insights into Nvidia's financial health and its impact on stock market dynamics. — Ideas and other content presented on this page should not be considered as guidance for trading or an investment advice. RoboMarkets bears no responsibility for trading results based on trading opinions described in these analytical reviews. The material presented and the information contained herein is for information purposes only and in no way should be considered as the provision of investment advice for the purposes of Investment Firms Law L. 87(I)/2017 of the Republic of Cyprus or any other form of personal advice or recommendation, which relates to certain types of transactions with certain types of financial instruments. Risk Warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 65.68% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
NASDAQ:NVDA
by RoboMarkets
NVDA NVIDIA Corporation Options Ahead of EarningsIf you haven`t bought the the recent dip on NVDA: nor before the big rally: Now analyzing the options chain and the chart patterns of NVDA NVIDIA Corporation prior to the earnings report this week, I would consider purchasing the 138usd strike price Calls with an expiration date of 2025-1-17, for a premium of approximately $15.65. If these options prove to be profitable prior to the earnings release, I would sell at least half of them.
NASDAQ:NVDALong
by TopgOptions
NVDA Near Historic Highs: Awaiting Key Breakout SignalsI’m sharing a weekly chart analysis for NVDA, focusing on its current position near historical highs at $129 after a bounce from $90. From the logarithmic scale chart, it's clear that NVDA has been in a long-term progression channel since July 2015. Currently, the price is positioned on the upper deviation line of this channel, indicating a potential resistance area. Given this position on the logarithmic scale, I am leaning towards a short bias as it suggests we could see a pullback or correction. I’ve also identified two cup & handle patterns, each with their respective targets. However, these patterns will only be validated based on the next price movements. While there is still a blue support trend and a red resistance trend in play, the price near its historical highs and its proximity to the upper boundary of the progression channel suggest that a downward movement could be more likely. However, due to the large time scale of the weekly chart, we should wait for further confirmation of a downtrend before taking a short position. For now, I recommend caution and suggest waiting for a confirmed breakout or breakdown from the current channel before making any decisive trades. I’d love to hear your insights and thoughts on this setup.
NASDAQ:NVDA
by Eymen-GUVEN
NVIDIA (NVDA): Wave 1 Nearly Complete – New Entry Opportunity?After a break, we’re taking another look at NVIDIA, which is now around $100 — which sounds like a much more attractive level compared to $1100. But it isn't, as in the meantime we witnessed a stock split. We still see more upside for NVIDIA as we believe we are in Wave (5) of the current cycle, if our count is correct. Zooming in, the past surge doesn't need much commentary as it was mostly upward movement without significant corrections. Now, it looks like we’re getting into the intra-wave structure. We expect Wave 1 to finish after one last leg up to complete the five-wave cycle for Wave 1. Afterward, we could look for entry points at the end of Wave 2. If this scenario plays out with the bearish divergence on the RSI, we will update you on how we plan to position ourselves.
NASDAQ:NVDALong
by freeguy_by_wmc
Nvidia's Stellar Rise Amidst the AI Gold Rush Nvidia, the tech giant renowned for its high-performance graphics processing units (GPUs), has been riding a wave of unprecedented success. As the world dives deeper into the realm of artificial intelligence (AI), Nvidia's GPUs have become the indispensable hardware powering the most advanced AI models. This surge in demand has propelled Nvidia's stock to new heights, solidifying its position as a leader in the semiconductor industry. The AI Revolution Drives Demand The rapid advancements in AI technology have created a voracious appetite for computing power. Nvidia's GPUs, originally designed for rendering complex graphics, have proven to be remarkably efficient at handling the intensive calculations required for training and running AI models. Their parallel processing architecture allows them to perform multiple tasks simultaneously, making them ideal for the demanding workloads associated with AI. As AI applications continue to expand across various industries, from healthcare and finance to autonomous vehicles and customer service, the demand for high-performance GPUs has skyrocketed. Companies like OpenAI, Meta, and Google are investing heavily in AI research and development, and Nvidia's GPUs have become a critical component of their infrastructure. Nvidia's Strategic Moves Nvidia has been proactive in capitalizing on the AI boom. The company has made significant investments in research and development to enhance its GPU technology and expand its product offerings. In addition to its traditional gaming GPUs, Nvidia has introduced specialized AI accelerators, such as the A100 and H100, which are optimized for AI workloads. Furthermore, Nvidia has been expanding its ecosystem through partnerships and acquisitions. The company has collaborated with major cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform to offer AI services based on its GPUs. This has made it easier for developers and businesses to access and utilize AI capabilities. Challenges and Opportunities While Nvidia's prospects appear bright, the company faces certain challenges. The semiconductor industry is cyclical, and there is a risk of a slowdown in demand for GPUs if the AI market experiences a correction. Additionally, competition from other chip manufacturers, such as AMD and Intel, is intensifying. However, the long-term outlook for AI remains positive, and Nvidia's strong market position and technological leadership give it a significant advantage. As AI continues to penetrate various sectors, the demand for high-performance computing power is likely to grow, providing ample opportunities for Nvidia to expand its business. Conclusion Nvidia's success story is a testament to the transformative power of AI. The company's ability to leverage its GPU technology to meet the demands of the AI revolution has propelled it to the forefront of the semiconductor industry. As AI continues to evolve and reshape the world, Nvidia is well-positioned to capitalize on the growing market and maintain its leadership position.
NASDAQ:NVDALong
by bryandowningqln
Market Analysis and Projection: NVIDIA Stock OpportunityI WILL BUY NVIDIA STOCK AT $112. On the 5th of this month, NVIDIA (NVDA) experienced a significant downturn, with its stock price plunging to approximately $90—a day marked by widespread volatility in both the financial markets and cryptocurrency sectors. As of now, NVDA has rebounded to $115. Based on my market analysis, I am anticipating a pullback to $112, at which point I plan to initiate a buy position. My target for take profit is set around $126. For investors and traders, NVDA still presents a strong potential for growth, making it a stock worth monitoring closely.
NASDAQ:NVDALong
by ForexClinik
NVDA Nvidia Buy the Dip OpportunityIf you haven`t bought NVDA before the breakout: It's important to note that the leading company in Artificial Intelligence is currently trading at a Forward P/E ratio of 29.48. This valuation suggests it might be relatively inexpensive for investors considering a long-term position. Given the company's strong market position and growth potential in the AI sector, this could be an opportune time to enter, especially if you believe in the sustained growth and innovation of the industry. The Forward P/E ratio is a key indicator of expected future earnings and, at this level, it indicates that Nvidia is reasonably priced in comparison to its future earning potential. My price target for the end of the year is $140-145.
NASDAQ:NVDALong
by TopgOptions
1
Nvidia's Meteoric Rise: $420 Billion Added in Four Days Nvidia Corporation has once again captured the world's attention, this time with a stunning market value surge. The tech titan, synonymous with the burgeoning artificial intelligence (AI) landscape, has added a staggering $420 billion market capitalization in just four trading days. This represents a 17% surge in its stock price, leaving investors and analysts alike in awe. The rally comes on the heels of a tumultuous period for Nvidia shareholders. The stock had experienced a significant downturn, wiping out billions in market value. However, the recent rebound has been spectacular, propelling the company into the spotlight as a dominant force in the tech industry. What's driving this incredible resurgence? Several factors are likely contributing to Nvidia's meteoric rise. Primarily, the company is at the forefront of the AI revolution. Its high-performance graphics processing units (GPUs) have become the de facto standard for training complex AI models. As the demand for AI applications continues to explode across industries, from healthcare and finance to autonomous vehicles and gaming, Nvidia stands to benefit immensely. Investor sentiment has also played a crucial role. The recent dip in the stock price created a buying opportunity for many, with investors recognizing the long-term potential of Nvidia in the AI space. As the company prepares to release its earnings report at the end of the month, anticipation is building, and investors are positioning themselves for potentially strong results. It's important to note that Nvidia's performance has had a ripple effect on the broader market. The company has accounted for a significant portion of the S&P 500's gains during this period, highlighting its outsized influence. This has led to a more optimistic outlook among investors, as positive sentiment surrounding Nvidia has spread to other tech stocks. While the recent surge is undoubtedly impressive, it's essential to approach it with a degree of caution. The stock market is inherently volatile, and past performance is not indicative of future results. Investors must conduct thorough research and consider their risk tolerance before making any investment decisions. Looking ahead, market participants will continue to closely watch Nvidia's trajectory. The company's ability to maintain its technological leadership in the AI space and its capacity to capitalize on emerging opportunities will be key determinants of its future success. As the world becomes increasingly reliant on AI, Nvidia's role as a key player in this transformative industry is likely to solidify, making it a company worth keeping a close eye on.
NASDAQ:NVDA
by bryandowningqln
Nvidia's Unshakable AI Dominance: Why No Giant Can Topple?Nvidia is renowned for its stellar performance in the AI chip manufacturing sector. However, the company's core strength lies in building a business barrier made up of a tight integration of software and hardware, effectively keeping customers loyal and competitors at bay. Over the past two decades, Nvidia has meticulously crafted a "walled garden" in the tech world, akin to the ecosystem created by Apple. While Apple's ecosystem mainly targets consumers, Nvidia focuses on serving developers who use its chips to build AI systems and other software. This closed system explains why Nvidia has maintained its dominant position in the AI market despite fierce competition from other chipmakers and tech giants like Google and Amazon. It's unlikely that Nvidia will lose significant market share in the coming years. In the long run, the competition over Nvidia's dominance will likely focus more on its coding prowess rather than just circuit design. Competitors are racing to develop software that can bypass Nvidia's barriers. CUDA: The Foundation of the Walled Garden Understanding Nvidia's "walled garden" hinges on its CUDA software platform. Since its launch in 2007, CUDA has solved a problem that others haven't—how to run non-graphics software, like encryption algorithms and cryptocurrency mining, on Nvidia's specialized chips designed for labor-intensive applications like 3D graphics and video games. CUDA supports a variety of computing tasks on these graphics processing units (GPUs) and allows AI software to run on Nvidia's chips. The explosive growth of AI software in recent years has elevated Nvidia to one of the world's most valuable companies. Importantly, CUDA continues to evolve. Year after year, Nvidia releases specialized code libraries to meet the needs of software developers. These libraries enable tasks to be executed on Nvidia GPUs at speeds far surpassing traditional general-purpose processors like those made by Intel and AMD. The Importance of Full-Stack Computing and Software Platforms The significance of Nvidia's software platforms also explains why Nvidia has historically invested more in hiring software engineers than hardware engineers. CEO Jensen Huang recently emphasized the company's focus on "full-stack computing," which involves everything from chip-making to AI software development. Whenever competitors announce AI chips meant to rival Nvidia's, they're effectively competing against a system that's been in use for over 15 years, with vast amounts of code written for it. This software is challenging to port to competitors' systems, which is a true advantage of Nvidia's coding capabilities. At its shareholders' meeting in June, Nvidia announced that CUDA now includes over 300 code libraries and 600 AI models, supporting 3,700 GPU-accelerated applications used by over five million developers across approximately 40,000 companies. Market Predictions and Competitive Landscape The vast size of the AI computing market has prompted multiple companies to join forces against Nvidia. Atif Malik, a semiconductor and networking equipment analyst at Citi Research, predicts that the AI-related chip market will reach $400 billion annually by 2027. In comparison, Nvidia's revenue for the fiscal year ending in January was about $61 billion. Bill Pearson, Intel's vice president for AI for cloud customers, states that much of the industry's collaboration focuses on developing open-source alternatives to CUDA. Intel engineers are contributing to two such projects, one involving companies like ARM, Google, Samsung, and Qualcomm. OpenAI, the company behind ChatGPT, is also working on its open-source project. Investors are flocking to startups working on CUDA alternatives, driven partly by the prospect of engineers from many global tech giants potentially making it possible for companies to use any chips they want, avoiding what some in the industry call the "CUDA tax." Open-Source Alternatives and Industry Dynamics In the AI chip sector, Nvidia retains a strong leadership position, but competition is intensifying. Startup Groq recently secured $640 million in funding at a $2.8 billion valuation to develop chips that can rival Nvidia's, marking the rise of open-source software and bringing new vitality and possibilities to the industry. Not just startups, but tech giants are also making moves. Google and Amazon are developing their AI training and deployment chips, and Microsoft announced in 2023 that it would join this effort. These moves challenge Nvidia's market position and push for industry innovation. In this competition, AMD has emerged as one of the strongest challengers to Nvidia's AI chip dominance with its Instinct AI chip line. AMD Executive Vice President Andrew Dieckman states that although AMD's market share is still behind Nvidia, the company is heavily investing in software engineers to expand its software resources and narrow the gap. Last month, AMD announced a $665 million acquisition of Silo AI, further enhancing its AI development capabilities. Two major Nvidia customers, Microsoft and Meta Platforms, have started purchasing AMD's AI chips, reflecting the market's demand for diverse suppliers and a desire for competition in high-end products. Challenges and Opportunities for Nvidia However, Nvidia's market barrier isn't impenetrable. Babak Pahlavan, CEO of startup NinjaTech AI, revealed that he would have preferred using Nvidia's hardware and software if costs allowed. But due to shortages and the high cost of Nvidia's H100 chips, NinjaTech AI turned to Amazon, which offers its AI training chip Trainium. After months of effort and collaboration, NinjaTech AI successfully trained its AI models on Trainium chips and launched AI "agents" in May, boasting over one million monthly active users, all supported by models trained and run on Amazon chips. This shift wasn't easy. Pahlavan admitted facing numerous challenges and errors along the way. Amazon Web Services Executive Gadi Hutt acknowledged early mistakes from both sides but stated they are now on track. Amazon's AI chip customer base is growing, including companies like Anthropic, Airbnb, Pinterest, and Snap. Although Amazon offers customers the option to use Nvidia chips, they are more expensive, and transitioning takes time. NinjaTech AI's experience highlights one major reason why startups like it endure the extra effort and development time to build AI outside Nvidia's "walled garden": cost. Pahlavan says NinjaTech's cloud service bill at Amazon is about $250,000 a month to serve over a million users. If the same AI ran on Nvidia chips, it would cost between $750,000 and $1.2 million. Nvidia's Response and Future Outlook Facing these competitive pressures, Nvidia is acutely aware of the high costs associated with its chips. CEO Jensen Huang has pledged that the company's next generation of AI-focused chips will aim to reduce the costs of training AI on Nvidia's hardware. Malik of Citi Research expects Nvidia to maintain a 90% market share in AI-related chipsets for the next two to three years. This suggests that despite competition, Nvidia's leading position remains solid. In the foreseeable future, Nvidia's fate will depend on the kind of inertia that has historically kept many businesses and customers locked into various "walled gardens."
NASDAQ:NVDA
by xugina78
NVDIA BULLS! DON'T FART TOO LOUDLY. IT'S TOO STUFFYhe AI boom is reaching the sort of lofty heights that characterised history’s great bubbles, from the Dutch tulip mania to the dotcom bust at the turn of the millennium. Investors have now determined that Nvidia alone is worth more than the entire annual output of Spain. Add in the tech companies expected to profit most from the AI revolution — Nvidia along with Amazon, Apple, Alphabet, Meta, Tesla, and Microsoft — and the so-called Magnificent Seven are together valued at more than the stock markets of every other country on the planet. The American stock market’s spectacular performance over the last year, up more than a fifth, has been driven almost entirely by these seven companies. We’ve been here before, many times. New technologies often produce bubbles — railways in the 19th century, automobiles and radios in the 1920s, the internet in the 1990s and now the AI boom, which was triggered by Open AI’s launch of ChatGPT late in 2022. Driving any bubble is the same conviction that the new technology will revolutionise the economy, combined with the fact that nobody can be sure just how it will do that. So narratives of transformation become self-sustaining, as the stock’s rise draws in ever more investors eager to join the ride, creating a self-propelling upward cycle. In time, all bubbles burst, earlier or later.
NASDAQ:NVDA
by Pandorra