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Nvidia_analysis

Nvidia Stock Analysis: Demand for AI Chips Fuel Bullish MomentumNvidia’s meteoric rise in 2024 has been nothing short of remarkable, fueled by the surging demand for its AI chips. Nvidia CEO Jensen Huang described this demand as "insane" during an interview with CNBC, sparking even more excitement around the chipmaker’s stock. As of Thursday's premarket trading, Nvidia shares are up 1.91%, and all eyes are on the company’s continued growth potential. Insane Demand and Strategic Partnerships Nvidia (NASDAQ: NASDAQ:NVDA ) has emerged as a global leader in AI infrastructure, with its next-generation Blackwell AI chips driving much of the growth. Huang's comments highlight the unprecedented demand for these AI chips as companies across various industries race to build out their AI capabilities. Nvidia’s strategic partnership with IT consulting firm Accenture is another critical factor driving growth. The collaboration aims to help businesses implement AI-powered solutions using Nvidia’s cutting-edge technology, further extending Nvidia’s reach into the enterprise AI market. This partnership underscores Nvidia’s ability to build an ecosystem of AI-driven businesses, drawing comparisons to tech giants like Microsoft and Oracle. By expanding its AI infrastructure, Nvidia is ensuring its long-term dominance in the AI space, and investors are responding in kind. Nvidia’s stock has surged 140% year-to-date, far outpacing expectations. Strong Financial Performance Nvidia’s financials remain impressive. The company has consistently outperformed Wall Street’s projections, driving a rally in its stock price and contributing significantly to the broader market rally in the S&P 500. The expanded partnership with Accenture further solidifies Nvidia’s position as a dominant force in the AI landscape. Additionally, demand for AI chips from companies and governments alike continues to rise, making Nvidia the go-to choice for building AI infrastructure. Nvidia’s massive year-to-date gains have been driven by demand across various sectors for AI solutions, cementing its place at the center of the AI revolution. This success is only expected to continue as Nvidia rolls out more advanced chips and expands its partnerships. Technical Outlook From a technical perspective, Nvidia’s stock is showing signs of even further upside potential. After peaking in June, NASDAQ:NVDA has been consolidating within a symmetrical triangle pattern—a classic chart formation that suggests a period of consolidation followed by a significant move in the direction of the prevailing trend. This pattern is a bullish signal, especially given Nvidia’s already strong uptrend in 2024. If Nvidia’s stock breaks above the triangle's resistance level, the technicals point to further upside. Key price targets to watch are $128 and $139 ### **Support Levels: Key Breakdown Area to Watch** Despite Nvidia’s strong bullish momentum, it’s important to consider potential downside risks, particularly in light of the stock’s history of price fluctuations. The key support levels to watch are $110 and $97, which aligns with a trendline linking the March peaks and the 200-day moving average. This area could provide a safety net if Nvidia (NASDAQ: NASDAQ:NVDA ) faces short-term selling pressure. Conclusion Nvidia paints a compelling picture for long-term investors. The ongoing surge in demand for AI chips, coupled with Nvidia’s strategic expansion into enterprise AI through partnerships like the one with Accenture, sets the stage for continued success. With Nvidia’s stock forming a bullish symmetrical triangle pattern and key price targets pointing to significant upside, now may be the time for investors to ride the wave of this AI-powered growth story. However, investors should also be mindful of potential support areas in the event of short-term volatility. All in all, Nvidia (NASDAQ: NASDAQ:NVDA ) is primed for continued dominance in the AI chip market, and the stock's technicals suggest there's more room to run.
NASDAQ:NVDALong
by DEXWireNews
NVDA - Weekly Fall PotentialNASDAQ:NVDA ’s stock has been on a meteoric rise, fueled by the growing demand for AI technology and high-performance computing solutions. However, recent market behavior and technical analysis suggest that a significant pullback may be imminent. The company’s recent 10-for-1 stock split has made shares more accessible to retail investors, but it has also introduced increased volatility. The market has responded positively to the split, but the momentum might be slowing down. Looking at the NVIDIA chart in a logarithmic scale, we observe three major bullish legs, each with gains exceeding 1000%. The current, third leg appears to be reaching its peak. This trend is further supported by the stock’s position within a rising channel, currently touching the upper boundary, indicating potential resistance. Additionally, lower time frame charts reveal a reversal pattern, suggesting a potential downturn. Technical indicators show that NVIDIA’s price is at a critical juncture. The stock has demonstrated a reversal pattern in the lower time frames, which is often a precursor to a decline. Moreover, the price is at the top of a rising channel, which typically acts as a resistance level. Given these factors, a pullback seems likely, especially considering the stock’s impressive run-up without significant corrections. In conclusion, while the broader market sentiment remains optimistic with expectations of new highs for NVIDIA, the technical indicators and recent stock behavior suggest a different story. Investors should be cautious and consider the possibility of a pullback. It is crucial to monitor the stock closely and be prepared for potential profit-taking, especially in the context of the recent stock split and the overall market dynamics.
NASDAQ:NVDAShort
by Sober_Trading
7
Again? NVIDA will experience another surge? Nvidia is forming another symmetrical triangle pattern. My answer for the topic is yes! First of all, it is moving in a bullish market overall speaking, so it probably will have a rally if it could break above the symmetrical triangle pattern. it indicates the end of this medium term pullback, and bulls will control the market next. of course, there are still some important resistance levels above the current price, so we will Continuously follow up, and see what gonna happen!
NASDAQ:NVDALong
by xugina78
1
Nvidia Has Strong Fundamentals but is that Enough?One Of the Biggest Success stories of 2023... NASDAQ:NVDA Truly Gained traction under the insane Artificial Intelligence Growth and alongside the hype train that skyrocketed most Semiconductor Stocks. The Balance sheet is a undeniable strength with more then 3 assets to 1 Liability, with good cash able to cover debt based on the balance sheet. Nvidia has very strong Fundamentals is that enough to justify the PE Ratio being at 55.94x ? and a Price to Sales Ratio of 30.3 ? and its price to books ratio at 50.2 , using these valuation methods Nvidia comes up as a expensive based on its current price to me personally. The RSI Is also pretty high at 53 . I am definitely interested in seeing how Nvidia plays out in the long-term. Share price has been aided by very high revenue growth beating all forecasts by analysts in recent Quarters. Nvidia Benefits from high profit margins, however is that enough to justify the high share price? as for management and there use of the cash we can see that Net margins are 55.0%, ROE of 91.1%, ROA of 60.9%, ROCE of 83.6%. --------------------------------------------------------------- Business Revenue Sources: 84.8% of the revenue is derived from "Compute & Networking" 15.2% of the revenue is derived from "Graphics" --------------------------------------------------------------- Balance Sheet: Cash: US34.80b DEBT: US8.46b Equity: US58.16b Total Liabilities: US27.07b Total Assets: US85.23b 14.5% -> Debt to Equity Ratio --------------------------------------------------------------- Disclaimer: I am not a financial advisor and in no way am I signaling a sell, buy, or hold opinion on this stock (Nvidia) I am just giving my personal opinion as a hobby trader, I have no certifications and I am not a financial analyst, I also may be wrong about how I feel about the stock. I want you to do plenty more research on this and the stocks you are interested in because the stock market always holds a lot of risk that may be different for each investor and trader. Please do not make opinions based on this or any idea. Please be careful! --------------------------------------------------------------- Idea:
NASDAQ:NVDAShort
by BullishCanadianInvestor
Are we headed to an incremental new high?With Nvidia breaking tp the upside of the target box for circle-b, that means if we continue to follow through in the Minor B wave, as I am forecasting, we stand an excellent chance to making new all-time highs on a very marginal basis . Nonetheless, this will still be part of the overall primary degree correction that Nvidia is involved in. Read my last post of Nvidia to see the previous target box Larger Timeframe Analysis Showing Primary Degree Correction
NASDAQ:NVDA
by maikisch
Nvidia - A Correction Of -50% Is Starting!Nvidia ( NASDAQ:NVDA ) is reversing at a strong resistance: Click chart above to see the detailed analysis👆🏻 Last month Nvidia already corrected about -35% but managed to close with an indecision doji candle. However, previous cycles, the recent rally of +1.000% and the fact that Nvidia is retesting a strong resistance trendline all suggest that Nvidia will still move much lower soon. Levels to watch: $100, $55 Keep your long term vision, Philip (BasicTrading)
NASDAQ:NVDAShort
by basictradingtv
27
Nvidia - The -60% correction is starting!NASDAQ:NVDA is showing us multiple confluences which will lead to a massive move lower. Be greedy when others are fearful and fearful when others are greedy. But on Nvidia we cannot be fearful yet - so far, the smaller timeframes are still bullish. Everything makes me believe though that we will see a significant move lower soon: Nvidia is retesting massive channel resistance, repeated the previous bullish cycles and is preparing for the next correction cycle! Levels to watch: $120, $50 Keep your long term vision, Philip - BasicTrading
NASDAQ:NVDAShort
by basictradingtv
51
Nvidia is Going to ZERO. AI Will Not Change the World.Hello Everyone, Anybody buying NVDA at these levels will suffer the same fate as the Intel (INTC) buyers during the Dotcom bubble. Chances are Jun 20, 2024 was the top and so far we have been making lower highs and lower lows. Weekly timeframe shows a bearish engulfing, however we will need a confirmation dump candle with another follow through candle to confirm further dumping as shown in the chart above. Massive bearish divergence on weekly and the RSI might be confirming a lower high for the third divergence. This bearish engulfing candle can be cancelled if we can't close below the candle next week. Whether we still trade around these levels for a little bit longer or dump now, eventually NVDA will be headed towards $5-$10 during this upcoming recession. The NVDA hype will die during this recession and everybody is going to forget about it and will have many competitors in the future. We may never see NVDA this high again in our lifetime.
NASDAQ:NVDA
by justaturboman44
4
NVIDIA to $180Overview It's a good mindset to be skeptical about a bull market that doesn't seem like it should exist. The GDP (Gross Domestic Product) has declined for a second consecutive quarter to a 24 month low and the Civilian Unemployment Rate is the highest it's been since Nov 2021. This leads me to believe that the current rally is being mostly fueled by two factors surrounding artificial intelligence: hype and revenue. NASDAQ:NVDA is the leading A.I. developer and hasn't experienced a decrease in quarterly revenue since November 2022. When faced with the unknown -- which in this case would be the direction of the stock market -- people cling to what they know. I believe this will present itself in more clearly defined trading patterns and price-swing predictability. Technicals NVDA is setting up a pattern that resembles the 5 Elliott Impulse Waves with each wave taking between 3-4 months to develop. If accurate, the trough of the 4th wave could find the share price in the proximity of $100-115. I utilized Fibonacci levels against the low of the 2nd wave to the high of the 3rd wave. In addition to helping find a support level for the 4th wave, the uptrend Fibonacci tool also provided a projected price target near $180. I compared the 1.618 (161.8%) micro-Fibonacci retracement to the 1.618 macro-Fibonacci retracement, which consumes the entirety of the already existing patterns. I took the difference of $18.19 between the projected 1.618 Fib levels then created a low and high range where I believe the 5th wave will peak. I ended my projection at this point, however, it is worth noting that impulse waves are followed by correction waves which serve in the opposite trending direction.
NASDAQ:NVDALong
by Shepherd_Investor
6
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'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
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
Nvidia Is waaay too hotEven though it is possible for price to go beyond the 3rd STD, It usually doesn't remain there for long before it has to cycle back to test lower levels. However, hype stocks can lead people to keep buying in fear of missing out. We all know that is a rookie mistake. That's why, even though NVIDIA is an awesome company, I would instead prefer to buy at a discount. No one knows what price will do tomorrow. But it's best to have the odds on our side. And when a situation seems risky, even though it's promising, it's usually the best just to step back. Even if you have to let go a great opportunity where price rises, you will still be better off. Because a strategy consisting of chasing the trend will inevitably end poorly. The correct approach is trying to find opportunities where the price isn't too hot, and you believe in the future of the company. One must look for ways to determine if a new trend is forming. Not trying to catch the current one. If the price is already in a clear trend, it's best not to jump in right away, but look for a cool off before taking a position. Also, when considering individual stock's it's important to study the related indices as they will give more context to where the stock is in contrast to its pears with similar situations. By looking at the CME_MINI:ES1! and CME_MINI:ES1! It's noticeable that these indices are also overheating. Just to be clear, I don't believe we are at the peak yet, but we will soon be there. Just be patient, don't tell price what to do, let it hit you about its next move and prepare for all scenarios.
NASDAQ:NVDALong
by DarkMessiah777
Nvidia - The tide is (finally) turning!NASDAQ:NVDA is about to create a bearish reversal which will lead to a -60% correction! Charts just don't lie at all - instead fundamentals are always an illusion. Nvidia was retesting a major resistance trendline and is starting a significant bearish reversal. Nothing changed fundamentally but Nvidia is already down -25% over the past couple of days. This is just the beginning of another potential bear market, like we saw it back in 2018 and 2021... Levels to watch: $55 Keep your long term vision, Philip - BasicTrading
NASDAQ:NVDAShort
by basictradingtv
6
Musk Hails Memphis Supercluster: Nvidia Stock Soars on AITech entrepreneur Elon Musk took to social media platform X to celebrate a significant development in the world of artificial intelligence (AI). In a post, Musk lauded Nvidia for their contribution to the launch of training for xAI's Memphis Supercluster. This massive computing facility, equipped with a staggering 100,000 of Nvidia's H100 GPUs, marks a significant leap forward in AI development. The Power of Memphis: Supercharging AI Training The Memphis Supercluster is no ordinary data center. Custom-designed for the specific demands of AI model training, it boasts a colossal 100,000 H100 Tensor Core GPUs from Nvidia. These cutting-edge processors are specifically architected to handle the immense computational workload required to train complex AI models. The sheer scale of the Memphis Supercluster signifies the immense processing power required to push the boundaries of AI capabilities. Grok Gears Up for a New Era The Memphis Supercluster isn't just a showcase of technological prowess; it has a clear purpose. This powerful facility is dedicated to training the next iteration of xAI's chatbot, Grok. While details about Grok's new capabilities remain undisclosed, the involvement of the Memphis Supercluster suggests a significant upgrade in its functionality. This could pave the way for more advanced natural language processing, improved reasoning abilities, and potentially even greater human-like interaction. Nvidia Stock Rides the AI Wave The news of the Memphis Supercluster's activation coincided with a surge in Nvidia's stock price. This rise can be attributed, at least in part, to the positive sentiment surrounding the project. The successful collaboration between xAI and Nvidia showcases the potential of H100 GPUs in the field of AI. This, in turn, could lead to increased demand for Nvidia's technology from other companies and research institutions working on cutting-edge AI projects. Additionally, the broader market may be recognizing the growing importance of AI and the role Nvidia plays in its development, leading to a general uptick in investor confidence. A Look Ahead: The Future of AI The launch of the Memphis Supercluster is a significant milestone in the ongoing quest for artificial intelligence advancement. The immense processing power it offers opens doors for the development of even more sophisticated AI models. As xAI trains the next version of Grok on this powerful platform, the world awaits with anticipation to see the new heights AI can achieve. This development, along with the positive reception of Nvidia's technology, suggests an exciting future for AI research and its potential applications across various industries.
PYTH:NVDALong
by bryandowningqln