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NVIDIA $NVDA | NVIDIA EARNINGS REPORT Nov. 20th, 2024NVIDIA NASDAQ:NVDA | NVIDIA EARNINGS REPORT Nov. 20th, 2024 BUY/LONG ZONE (GREEN): $148.75 - $165.00 DO NOT TRADE/DNT ZONE (WHITE): $138.00 - $148.75 SELL/SHORT ZONE (RED): $118.25 - $138.00 Weekly: Bullish Daily: Bullish 4H: Bullish NASDAQ:NVDA reports earnings today, these are the areas that I will look for significant price movement at. The market is anticipating around an 8.5% move, roughly an $11.50 move in either direction, based on ATM option prices, or an 11%-12% move, roughly $16.50 move in either direction, based on volatility calculations. This is what I would personally look at before entering trades, everything is subject to change on a daily basis and as I analyze different timeframes and ideas. ENTERTAINMENT PURPOSES ONLY, NOT FINANCIAL ADVICE! trendanalysis, trendtrading, priceaction, priceactiontrading, technicalindicators, supportandresistance, rangebreakout, rangebreakdown, rangetrading, chartpatterntrading, chartpatterns, spy, sp500, s&p, fed, federalreserve, fedrate, fedratecut, interestrate, jeromepowell, fedchair, 50bps, volatile, volatility, nvidia, nvidiapricetarget, nvdatrend, nvidiatrend, nvdasetup, nvidialongs, nvidiashorts,
NASDAQ:NVDA
by TonyAiello
The Probabilities are stacking up that Nvidia has ToppedAs I have long forecasted, Nvidia is coming into a top of either primary or intermediate degree proportion. The answer to that burning question of mine I believe gets answered in the depth of the price action's retracement lower. Determining this answer, for me personally as an analyst, is whether or not that eventual retrace can hold above the $90.68 level, which as of this morning stands at 34% lower...so by no means am I looking at this as a mere retracement. 34% is nothing if not significant. Along the way, we're more informed in the confidence of this forecasted pathway, if price breaches the important $128.74 level. Upon seeing such price action, I believe in the weeks (or months) ahead we could see Nvidia's price action first test $102.73 area. To hold that level and reverse in a micro 5-wave pattern, could bring about our final advance into the $170 (+) area for a long term top. That top I am forecasting in years...not months. To breakdown below $102.73 could see us decline to as low as the low $70's before a corrective (but Tradeable) rally takes place. Best to all, Chris
NASDAQ:NVDA
by maikisch
SMCI one of the most high value opportunity on the Stock MarketSMCI: Bridging Gaps, Powering Growth! Super Micro Computer Inc. (SMCI) has nailed two key market gaps at 22.85 and 38.14, proving its strength and resilience. These milestones aren’t just numbers—they’re launchpads for SMCI’s explosive growth in high-performance computing. With innovation driving demand, SMCI isn’t just playing the game—it’s redefining it. Stay ahead—SMCI is the stock to watch! Targets covered : 1. 23.85$ Per Share 2. 38.14$ Per Share 3. 49.49$ Per Share 4. 63.45$ Per Share 5. 85.03$ Per Share 6. 97.36$ Per Share The 1st and 2nd targets have been of extreme importance because they were very key gaps that we caused by Fundamental events connected with SMCI, which have already been covered, so we are moving in a strong motion towards our next stop at 49.49$ Per share, please join my group of which we follow up in depth this Stock and many more!!
NASDAQ:SMCILong
by DG55Capital
2
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
NVIDIA I Set for Potential 20%+ Upside – Key Level Buy Welcome back! Let me know your thoughts in the comments! ** NVIDIA Analysis - Listen to video! We recommend that you keep this pair on your watchlist and enter when the entry criteria of your strategy is met. Please support this idea with a LIKE and COMMENT if you find it useful and Click "Follow" on our profile if you'd like these trade ideas delivered straight to your email in the future. Thanks for your continued support!Welcome back! Let me know your thoughts in the comments!
NASDAQ:NVDALong
by BKTradingAcademy
1
NAS100 - Nasdaq will stabilize above 21 anytime?!The index is above the EMA200 and EMA50 in the 4H timeframe and is trading in its ascending channel. If the index rises towards the specified supply zone, you can look for Nasdaq sell positions to target the bottom of the ascending channel. Nasdaq buying positions will be at the bottom of the channel and the demand zone after the continuation of the corrective movement The housing sector was in the spotlight last week. The market has regained attention following an unexpected surge in mortgage rates, which have risen by nearly 75 basis points since the Federal Reserve’s first rate cut during its September meeting. According to Freddie Mac, the average rate for 30-year mortgages climbed to 6.8% in the week ending November 21, offsetting much of the reductions seen in August and September. Existing home sales increased by 3.4% in October, breaking a two-month decline. However, it’s important to note that October’s data largely reflects homebuying activity from late September, a period when mortgage rates were trending downward. Despite this rise, the annualized sales rate of 3.96 million units in October remains sluggish. By comparison, the 2021 average was about 6.1 million units, with current declines largely attributed to higher yields on mortgage-backed securities (MBS). Consumers remain relatively resilient, continuing to spend at a strong pace. October’s retail sales data exceeded expectations with a 0.4% increase, supported by upward revisions to previous figures. This trend indicates that households are entering the holiday season under favorable economic conditions. In the upcoming week, durable goods orders data is anticipated. This segment, particularly aircraft orders, has experienced significant volatility in recent months. Challenges in the aviation industry are among the main reasons for this instability. While strikes may have impacted production last month, Boeing data reveals that only 63 new aircraft orders were placed in October, roughly matching the prior month’s figure. As a result, conditions in October are expected to have stabilized somewhat. Overall, demand appears to be leveling out, yet uncertainties regarding corporate investment spending persist. Although borrowing costs and interest rates have been decreasing, the extent and intensity of these declines remain uncertain. Federal Reserve officials have recently acknowledged that, due to strong economic data and sticky inflation, rate cuts in the coming months are likely to proceed gradually and at a slower pace. Additionally, even though U.S. elections have concluded, it is still unclear which policies, particularly tariffs, will be implemented. This week, several regional indicators—such as the Dallas Fed Manufacturing Index, the Richmond Fed Manufacturing Index, and the Chicago Fed National Activity Index—will be released. Monitoring these data points could provide a clearer picture of the U.S. economy’s health and serve as leading indicators for assessing upcoming economic releases. Fed Chair Jerome Powell recently indicated that both headline and core Personal Consumption Expenditures (PCE) indexes are expected to rise from 2.1% to 2.3% and from 2.7% to 2.8%, respectively, in October. If these projections materialize, the Fed may still proceed with a rate cut in December. Should the PCE report fail to offer clear guidance on the Fed’s next move, investors will turn their attention to the minutes from the November monetary policy meeting, which will be released on the same day. Additionally, other critical data, such as personal income and spending, durable goods orders, and the second estimate of Q3 GDP growth, will be published on Wednesday. According to CME data, market participants estimate a 56% probability of a 25-basis-point rate cut in the upcoming Fed meeting on December 18, while a 44% chance of holding rates steady is also considered. These probabilities could shift with the release of more data ahead of the meeting. Furthermore, the minutes from the November FOMC meeting are also expected this week.
CAPITALCOM:US100Long
by Ali_PSND
NVIDIA 200 BY 2025 Reasons Why NVIDIA Could Reach $200 by 2025 NVIDIA (NVDA) has been at the forefront of technological innovation, particularly in the realms of AI and graphics processing, positioning it well for significant stock price growth. Here are several reasons why NVIDIA's stock might hit $200 by 2025: Dominance in AI and Data Center Markets: NVIDIA's GPUs are the backbone for many AI and machine learning applications. Their leadership in this space, especially with the advent of AI-driven technologies across industries, is expected to keep revenue growth robust. The company's data center segment has seen exponential growth, with analysts predicting a continued upward trend due to the increasing demand for computing power in AI applications. Strategic Product Roadmap: NVIDIA's product pipeline, including the Blackwell architecture, is anticipated to propel the company forward. The Blackwell chips, expected to launch in 2025, are designed to push performance boundaries for AI applications, potentially capturing more market share and driving revenue. The expectation around these new architectures creates a bullish outlook for NVIDIA's stock. Strong Financial Performance: NVIDIA's financial results have consistently outperformed expectations. For instance, Q2 FY 2025 saw a revenue increase of 122% year over year, demonstrating the company's ability to maintain high growth rates. Despite a natural slowdown expected due to tougher year-over-year comparisons, the company's growth is still projected to be impressive at around 43% for FY 2026, supporting a narrative of sustained stock price appreciation. High Barriers to Entry and Market Moats: The complexity and performance of NVIDIA's offerings create high barriers for competitors, ensuring NVIDIA's market leadership. Analysts highlight NVIDIA's 24-month technological lead in AI GPUs, with high switching costs for customers locked into NVIDIA's ecosystem. This moat is expected to support premium pricing and market share retention, which could translate into stock value growth. Analyst Optimism: Numerous Wall Street analysts have set price targets for NVIDIA well above its current levels, with some predicting it could hit $200 or more by 2025. These forecasts are based on NVIDIA's strong fundamentals, technological edge, and market position in AI and computing solutions. Market Sentiment and Valuation: Even though NVIDIA's stock trades at a premium valuation (62 times trailing earnings as of recent data), analysts believe that its growth trajectory justifies this price. If NVIDIA continues to meet or exceed growth expectations, its valuation could expand further, driving the stock price towards $200. However, achieving this target would require either a significant earnings surge or a market sentiment favoring even higher multiples for tech growth stocks. Global AI Adoption: Posts on X highlight the ongoing global shift towards AI, with NVIDIA at the forefront. The demand for NVIDIA's computing solutions is expected to grow as AI becomes more integral to various sectors, from automotive to cloud computing, thereby supporting stock price growth.
NASDAQ:NVDALong
by NYRUNSGLOBAL
Better alternative for Nvidia NASDAQ:AMD might be a better alternative to NASDAQ:NVDA right now. Here are a few reasons why: 1. AMD has recently demonstrated stronger data center growth compared to Nvidia. 2. Nvidia appears to have reached a peak, with its revenue growth unlikely to remain as significant as before. 3. Nvidia's growth margins are slowing and even showing slight declines. 4. Nvidia's high stock price lacks a clear outlook for substantial gains. Considering these points, I believe AMD has the potential to outperform Nvidia in the coming months. However, AMD first needs to break out of its current downtrend. If that happens, I plan to reduce my Nvidia position and allocate it to AMD.
NASDAQ:AMDLong
by Glancu
How Will Nvidia's Stellar Quarter Impact the Future of Tech InveNvidia Corporation (NASDAQ: NVDA) experienced a rollercoaster ride as investors grappled with its impressive third-quarter earnings report. While the chip giant delivered a strong performance, the market's reaction was somewhat muted, highlighting the high expectations placed on the company. A Quarter of Record-Breaking Growth The surge in revenue was primarily driven by the robust demand for Nvidia's high-performance GPUs, which are essential for powering artificial intelligence (AI) and machine learning applications. The company's data center segment, in particular, saw exponential growth, fueled by the increasing adoption of AI in various industries. A Cautious Market Response Despite the impressive results, Nvidia's stock price fluctuated throughout the day. While the initial market reaction was positive, with shares rising in pre-market trading, the momentum soon faded. Some analysts attributed this to the high expectations set by Nvidia's consistent outperformance in recent quarters. Another factor that may have influenced the market's reaction was Nvidia's outlook for the fourth quarter. While the company provided a revenue forecast that exceeded analyst expectations, some investors may have been hoping for even more aggressive guidance. Long-Term Growth Prospects Remain Strong Despite the short-term volatility, Nvidia's long-term growth prospects remain robust. The company's dominance in the AI and machine learning market, coupled with its strong financial position, positions it well to capitalize on the ongoing technological revolution. As AI advances and becomes more pervasive, the demand for high-performance computing solutions is expected to soar. With their superior performance and energy efficiency, Nvidia's GPUs are ideally suited to meet this growing demand. Key Takeaways from Nvidia's Earnings Report • Record Revenue: Nvidia's third-quarter revenue of $35.08 billion surpassed expectations and marked a significant year-over-year increase. • Strong Data Center Performance: The data center segment was a major growth driver, fueled by the increasing adoption of AI and machine learning. • Cautious Market Reaction: Despite the strong results, the market's reaction was muted, reflecting high investor expectations. • Long-Term Growth Potential: Nvidia's strong market position and focus on innovation position it well for future growth. As Nvidia continues to push the boundaries of technology, its stock price will likely remain volatile. However, the company's strong fundamentals and promising growth prospects make it an attractive investment opportunity for long-term investors.
NASDAQ:NVDALong
by bryandowningqln
NVDA Analysis – Watching Key Levels! Hello Folks Alright, here’s what I’m seeing on NVDA. We’re still bullish for now, but I’ve marked the level where things could shift if it breaks. First Entry: Around $140, expecting support to hold and price to bounce. Second Entry: If price breaks $151, I’ll look to add at $148 after a retest for continuation. Targets : TP1: $151.69 TP2: $162.66 Stops below $136, keeping it tight in case the CHOCH level breaks and we start heading lower. For now, the setup looks solid. Let’s see if $140 holds, or if we dip lower before the next move. What’s your thought, folks?
NASDAQ:NVDALong
by QuantumFusion
2
Short time, target 138Following daily chart. I am posting a couple of hours before earning. First, I don't believe the earnings will be good enough to push the price more. Also, I am following 3 different power indicators, which all gave me a short signal. In this case, I want to use 2 different Fibonacci levels for the target, The first one is a long run from august, the other one is a short run, and both targets are around 137 for me. TP 138 SL 147 - stop under 147 candle close. Btw I see the same pattern in Amazon and SPX, so I am short in both 3 of them.
NASDAQ:NVDAShort
by omurden
3
NVIDIA Q3 earnings exceed expectations, but stock price falls Nvidia's third-quarter earnings surpassed market expectations. The EPS stood at 81 cents, notably higher than the market consensus of 75 cents. Total sales reached almost $35 billion, exceeding the forecast of $33 billion. This impressive performance was highlighted by a remarkable 94% increase in total sales compared to last year's period, alongside a robust 106% surge in net profit. Despite delivering a solid third-quarter performance, Nvidia's stock price took a hit. This drop occurred as the company's fourth-quarter sales guidance fell short of Wall Street's elevated expectations. The market had projected Nvidia's fourth-quarter sales to reach $37.5 billion, but the company revealed that it would instead be at $37.1 billion. NVDA has fallen slightly since the earnings announcement and remains around 146.00. However, the price still remains within the ascending channel, indicating momentum. If NVDA sustains an uptrend within the channel, the price may gain upward momentum toward the 150.00 high. Conversely, if NVDA breaks below the channel’s lower bound, the price may fall further to 138.30.
NASDAQ:NVDA
by inkicho_exness
2
NVDIA - Arguments For BullsMedianlines (Pitchforks) do not forecast. They PROJECT the most probable path of price. At each moment in time, a "Medianline/Pitchfork Analyst" can relay on the rules and the framework they provide. In this case I see the following arguments for a continuation to the upside: - price is above the Center-Line - price did test the CL two times and hold - price was attempted to test the CL a third time, but was even too strong to reach it, and is now in this very momentum to the upside - when price trades towards a Medain-Line but can't reach it, it's a sign that price will continue the direction it had before (up in this case). The next Target is the "next" Medianline, which is the U-MLH (Upper-Medianline-Parallel) - price broke the blue-dashed A/R line to the upside All said, we have to keep in mind that there is also a opposite side of the Coin. I will provide another Chart Analysis with "Arguments For Bears".
NASDAQ:NVDALong
by Tr8dingN3rd
What happened? $Nvidia surged nearly 5%!!!!Reason1: Cooling of Blackwell overheating issues boosts confidence. Concerns about overheating in Nvidia's latest high-end chip, Blackwell, had been widely discussed. However, multiple authoritative analysis firms and Nvidia's CEO Jensen Huang confirmed that these issues have been resolved. Industry analysts noted that such problems have been effectively mitigated, with negligible impact on chip performance and supply cadence. This clear positive signal has instilled confidence in investors regarding Blackwell’s stability and market prospects. Reason2: Technological advancements raise expectations. As Nvidia's most advanced chip to date, the complete resolution of design issues marks its research and production entering a mature phase. Coupled with its powerful computing capabilities and potential applications in AI and data centers, market expectations for the product's profitability have significantly increased, serving as a key driver of Nvidia's stock surge. Reason3: Professional analysis alleviates concerns. Semiconductor analysis firm-Semianalysis indicated that the supply chain adjustments related to the overheating issue were merely "minor modifications" with almost no effect on the chip's actual performance. This analysis helped the market move past excessive worries about Blackwell’s overheating issues, laying the groundwork for Nvidia to regain investor trust in the short term. Reason4: Stock price retraces to strong support levels. From a technical analysis perspective, the stock price moving in a bullish channel, recently retracing to an upward trend line and the 0.236 Fibonacci support level. This support has triggered a rise, indicating that previous movements were merely weak short-term corrections. Under the combined influence of these favorable factors, Nvidia's stock jumped nearly 5% in a single day, not only boosting its own valuation but also uplifting the tech sector and the broader market. However, whether this upward trend can continue in the short term will depend on today's earnings report. For specific operational strategies, please refer to my last post : "NVIDIA Earnings Preview: Strategy Notes for Q3 Report."
NASDAQ:NVDA
by xugina78
The Future of AI Operations: MLOps and NVIDIA's VisionMLOps: Transforming AI into Scalable Enterprise Solutions In today’s fast-evolving technological landscape, MLOps (Machine Learning Operations) has emerged as a vital discipline for businesses striving to scale AI solutions effectively. This burgeoning field combines machine learning, DevOps, and data engineering to streamline the development, deployment, monitoring, and management of machine learning models in production. While MLOps was initially shaped by generalized practices, industry leaders like NVIDIA have taken this framework to new heights, integrating it with cutting-edge hardware and software to drive enterprise AI innovation. Here's a comprehensive look at MLOps and how NVIDIA has helped businesses unlock the true potential of AI. As NVIDIA NASDAQ:NVDA prepares to release its third-quarter earnings, with estimates of $0.74 per share and $32.81 billion in revenue, its dominance in AI and MLOps underscores the strategic importance of these technologies in today’s digital economy. What Is MLOps? At its core, MLOps is a set of best practices, tools, and methodologies designed to operationalize machine learning models, ensuring they remain reliable, scalable, and effective in dynamic environments. It builds on the principles of DevOps, extending them to include data scientists and machine learning engineers, ensuring seamless collaboration across teams. MLOps enables businesses to: 1. Automate repetitive processes such as model training, deployment, and monitoring. 2. Ensure reproducibility of experiments and results. 3. Scale AI solutions as businesses grow. 4. Continuously monitor and refine models to prevent performance degradation over time. Core Components of MLOps 1. Data Pipeline Management: - Automating data collection, cleaning, and preprocessing. - Managing real-time data streams for dynamic model training. 2. Model Development and Experimentation: - Providing tools for tracking experiments, version control, and reproducibility. - Allowing iterative experimentation to optimize models for specific tasks. 3. Model Deployment: - Deploying models into production environments using containers (e.g., Kubernetes, Docker). - Supporting diverse deployment scenarios, including real-time inference and edge computing. 4. Monitoring and Maintenance: - Continuously monitoring model performance for accuracy, latency, and resource efficiency. - Automating retraining pipelines to adapt to changes in data or operational requirements. 5. Scalability and Governance: - Enabling enterprises to scale AI solutions across large datasets and infrastructures. - Ensuring compliance with industry standards and ethical AI guidelines. Here's a practical pie chart showing the distribution of effort across key stages in the MLOps workflow: Data Collection, Model Training, Model Deployment, and Monitoring. MLOps in Action: The NVIDIA Story As one of the pioneers in AI and GPU-based computing, NVIDIA has played a transformative role in advancing MLOps, enabling businesses to scale and operationalize AI solutions with unprecedented efficiency. By providing a robust ecosystem of hardware, software, and services, NVIDIA has set a gold standard for MLOps in enterprise AI. 1. NVIDIA’s AI Infrastructure: NVIDIA’s DGX Systems and DGX SuperPODs deliver the computational power needed to train and deploy complex AI models. These GPU clusters provide unmatched scalability, making them ideal for handling large datasets and real-time AI workloads. Example: The DGX BasePOD architecture allows organizations to create powerful GPU clusters optimized for AI development and deployment. 2. NVIDIA AI Enterprise Suite: The NVIDIA AI Enterprise platform includes tools like: - Triton Inference Server for efficient model deployment. - TAO Toolkit for fine-tuning pre-trained models with minimal coding. - RAPIDS for accelerating data science workflows. These tools simplify the end-to-end AI lifecycle, ensuring businesses can deploy and manage AI models with ease. 3. Real-World Use Cases: - Retail Optimization: A major retailer used MLOps capabilities in a public cloud powered by NVIDIA GPUs to create an AI service that reduced food waste by 8-9%. By forecasting when to restock shelves, the retailer optimized inventory management and minimized spoilage. - Predictive Maintenance: A PC manufacturer utilized NVIDIA’s AI infrastructure to predict laptop maintenance needs, enabling proactive updates and reducing downtime for customers. Scaling MLOps with NVIDIA and Cloud Providers NVIDIA has partnered with major cloud providers to integrate MLOps capabilities into their platforms: - AWS SageMaker: Accelerates machine learning workflows with NVIDIA GPUs, enabling automated model training and deployment. - Google NASDAQ:GOOGL Vertex AI: Leverages NVIDIA GPUs for seamless scaling and orchestration of AI models. - Azure Machine Learning: Offers NVIDIA-optimized infrastructure for developing responsible AI solutions. - Alibaba NYSE:BABA Cloud and Oracle Cloud: Provide NVIDIA-powered platforms for quick experimentation and deployment of machine learning projects. These integrations allow businesses to choose flexible, cloud-based solutions for their AI needs, reducing operational overhead while ensuring performance and scalability. Here's a bar chart illustrating the resource allocation in AI infrastructure across Compute Resources, Storage, Networking, and Software Tools. Why NVIDIA Excels in MLOps 1. Industry-Leading Hardware: NVIDIA’s GPUs are designed for high-performance AI workloads, enabling rapid training and inference. 2. End-to-End Solutions: From infrastructure to software tools, NVIDIA offers a comprehensive ecosystem for MLOps. 3. Focus on Standards: NVIDIA’s collaboration with the AI Infrastructure Alliance (AIIA) helps set industry standards and best practices for MLOps. 4. Support for Open-Source Tools: NVIDIA works with open-source platforms like Kubeflow and ClearML, ensuring flexibility for developers and engineers. With a revenue estimate of $32.81 billion for Q3, NVIDIA’s financial success reflects its role in pioneering AI infrastructure and MLOps solutions. Its offerings, like DGX systems and AI Enterprise, continue to dominate the enterprise AI landscape MLOps: The Future of AI in Business The rapid adoption of AI across industries underscores the importance of robust MLOps frameworks. With NVIDIA’s contributions, enterprises can now manage the full lifecycle of AI development, from data collection to model deployment, with confidence and efficiency. Whether it’s optimizing retail operations, predicting maintenance, or developing cutting-edge applications, MLOps ensures that AI becomes a seamless part of an organization’s digital ecosystem. Thanks to pioneers like NVIDIA, the vision of scalable, reliable, and impactful AI is now a reality. Final Thoughts MLOps is more than just a framework—it’s a paradigm shift in how businesses approach AI. By leveraging NVIDIA’s advanced tools, infrastructure, and partnerships, organizations can achieve unparalleled efficiency, scalability, and innovation in their AI endeavors. The journey from experimentation to enterprise-ready AI has never been more accessible or powerful. As NVIDIA announces its Q3 results, the company’s vision for the future of AI operations becomes even more critical. The expected revenue of $32.81 billion underscores how integral MLOps and AI are to the company's continued growth and innovation. The chart visualizations in this article were created using the TradingView platform, a leading solution for market analysis and charting. Special thanks to TradingView for providing an exceptional platform that supports traders and analysts worldwide.
NASDAQ:NVDAEducation
by SroshMayi
NVIDIA Earnings Preview: Strategy Notes for Q3 ReportPre-Earnings Strategy: First things first—know the key numbers and the market expectations. But keep in mind, NVIDIA’s revenue recognition can get tricky, so don’t be surprised by unpredictable results. This is why a solid strategy, proper positioning, and downside protection are essential going into the report. 1. Core Numbers & Expectations Where do Buy-Side Expectations Come From? NVIDIA has been beating guidance by around $2 billion each quarter and then raising guidance by another $2 billion (last quarter they raised it by $2.5 billion). For Q3, the guidance given in Q2 was $32.5B. Based on the trend, buy-side expectation bumps that up by another SEED_TVCODER77_ETHBTCDATA:2B , so the real expectation for Q3 is $34.5B. Looking ahead to Q4, buy-side is expecting GETTEX:39B (Q3 actual $34.5B + $2.5B + another SEED_TVCODER77_ETHBTCDATA:2B ). To make the buy-side comfortable with this, the Q4 guide needs to come in at least at $38B (realistically, even FWB:37B could suffice). Key Takeaway for a Big Beat: Q3 revenue needs to hit $34.5B, and Q4 guidance should be at $38B, with Blackwell contributing over SEED_TVCODER77_ETHBTCDATA:5B in Q4. 2. What the Analysts Think This is a mega-cap stock, so pretty much every sell-side analyst has a report. But let’s just focus on the key voices from Goldman (Hari), UBS (Arcuri), and Morgan Stanley (Moore), aka the “HAM Trio.” For Q3: Moore: Bearish—expects $32.5B Hari & Arcuri: Neutral-Bullish—expect around $34.3B For Q4 Guidance: Moore: Bearish—expects $35.3B Hari: Bullish—expects $39.2B Arcuri: Bullish—expects $38.9B 3. Q4 Blackwell Revenue Breakdown Management previously mentioned Q4 Blackwell revenue could be “several billion.” If it’s $2-3B, that’s below expectations. $5-6B would be a strong beat. Moore: Expects $5-6B (bullish on Blackwell) Arcuri: Expects only SEED_TVCODER77_ETHBTCDATA:3B (more conservative) 4. Summary of Analyst Divergence There’s a clear split among the top analysts, particularly around the Q4 guidance. This divergence sets up potential volatility. 5. Trading Strategy 1. Pre-Earnings Positioning: If the stock dips ahead of earnings, consider adding to the position. If there’s a rally, trim some to lock in profits. 2. Post-Earnings Reaction: If it tanks, be ready to add more, since Q1 of FY25 is expected to be a breakout quarter. 3. Hedging with Options: Use options to protect existing stock positions—don’t go into earnings unhedged. Implied Move Post-Earnings: The options market is pricing in about a 9% move, which puts the stock between $128-$153 (current price is around $141). Options Strategies Bullish Play (Betting on a Big Rally): Buy calls, but keep it small—treat it as a high-risk, high-reward play. If it goes to zero, it won’t hurt too much. Lower-Cost Bullish Play: Consider a call spread (buy a lower strike call, sell a higher strike call). This caps your upside but reduces the cost. Protecting Existing Long Stock Positions: Use covered calls. If the stock tanks, you get some downside protection from the premium. If it rallies, you still make money up to the strike price, plus the premium collected. The downside is losing the stock if it gets called away above the strike. Want to Buy the Dip After Earnings? Sell puts. If the stock drops, you get assigned shares at a lower price and keep the premium. If it rallies, you pocket the premium.
NASDAQ:NVDAShort
by xugina78
The key is whether it can be supported and rise near 137.39 Hello, traders. If you "Follow", you can always get new information quickly. Please click "Boost" as well. Have a good day today. ------------------------------------- (NVDA 1W chart) This is the stock with the highest trading volume among NAS100 stocks. It showed a downward trend near 1 (150.20), which was expected to be touched. Accordingly, the key is whether it can maintain the price by rising above 141.98. If not, it is possible that it will fall to around 123.54. - (1D chart) The key is whether it can receive support near 137.39 and rise above the MS-Signal (M-Signal on the 1D chart) indicator. Accordingly, it is expected to continue the upward trend if it rises above 0.886 (143.44). If not, if it falls below 137.39, it is likely to fall near the M-Signal indicator on the 1W chart. - Have a good time. Thank you. --------------------------------------------------
NASDAQ:NVDA
by readCrypto
NVIDIA's Price Action: The Strat Analysis & Key Levels (4-Hour)Candlestick Patterns: The chart shows 4-hour candlestick patterns with colors corresponding to price movement: - green fill and green outline indicates price closed above candle open price - green fill and red outline indicates price closed below candle open price - red fill and green outline indicates price went below previous candle low but closed above current candle open - red fill and red outline indicates price closed below previous candle and current candle low - yellow is the color for a consolidated candle (aka "1" or inside bar) - blue is the color for the "3" candle that went above and below previous' candle high and low The numbers "1," "2," and "3" likely represent The Strat methodology, a popular trading framework: 1 (Inside Bar): Price action is contained within the previous candle's range. 2 (Directional Bar): Price breaks either high or low of the previous candle. 3 (Broadening Formation): Price takes out both the high and low of the previous candle. Support and Resistance Zones: Multiple horizontal lines represent key support and resistance levels: - Yellow lines indicate historical highs/lows or significant levels (e.g., "Previous All-Time High Zone"). - Red and blue lines mark specific levels like the "Open WK" or "ABR1 Upper," - Labels such as "High of Day," "Previous Weekly High," and "Previous Daily Low" provide context for recent price action. Broadening Formations: - Diagonal white lines identify broadening formations, consistent with "The Strat." These formations reflect expanding ranges, suggesting increased volatility or market indecision. Key Dates and Events: - Specific dates and times, such as "4hr Mon, Nov 11 @ 1:30 pm," appear next to significant price levels, helping to pinpoint areas where the stock reacted strongly. Indicators: - ATR (Average True Range) and DTR (Daily True Range) values are shown at the bottom right: - ATR: 4.58 — Indicates the average price movement range over a period. - DTR: 5.16 — Suggests the range within the day (113% implies higher-than-average volatility). Directional Signals: - Green and red arrows identify potential buy and sell signals based on the methodology applied, likely aligned with price action breakouts or reversals. Analysis: - Trend: The stock has moved from consolidation (inside bars and 2s) to a broader upward trend with several green directional bars (2-ups). However, recent candles show retracement and potential consolidation. Key Levels to Watch: - Resistance: $148.68 ("Open WK") and $149.77 ("Previous Weekly High"). - Support: $140.08 and $137.33 ("Low of Day, Tuesday, Nov 5"). - Volatility: Broadening formations and ATR/DTR metrics suggest significant volatility in the price action. Potential Trading Setups: - Look for directional moves off major levels (e.g., $148.68 and $140.08). - Monitor broadening formation boundaries for potential reversals or breakouts.
NASDAQ:NVDA
by Brandonthrives
8