ShawnP123
4 hours ago
The article on Yahoo does a very good job of explaining the actual problem Nvidia is having. In essence this is what I took from the Q presentation:
https://finance.yahoo.com/news/nvidias-supply-snags-hurting-deliveries-021326781.html
"There's the risk that the bottlenecks worsen rather than improve, and that could damage revenue projections," said Michael Schulman, chief investment officer at Running Point Capital.
"We're at the beginning of our production ramp, which always comes with opportunities for yield improvement," Huang told Reuters on Wednesday. "We are ramping Blackwell from zero to something extremely large. By definition, the laws of physics would say that there's a limit to how fast you can ramp."
In the short term, the production ramp-up is expected to pressure gross margins.
Nvidia executives warned investors the company's margins would sink several percentage points to the low-70% range until production kinks are ironed out.
So at this time the demand does remain high but how long will it take to improve production. They use the word short term but it will limit the yield, keep profits at a lower level, and who knows how long it will take. That's why Jensen spent a lot of his time on demand.. So until they can get their yields up, the demand will remain high for now. The longer the yield remains a problem, the greater the chance of companies going to other sources to fulfill their requirements. There are chips which are equal or better than the Hopper which will become more available in first quarter 2025 at a lower cost and lower power consumption. The majority of these chips will be made by TSMC.
So, I'm not expecting anything better for the next Q report and possibly worse until their yield situation is significantly improved.
Nebuchadnezzar
5 hours ago
with a market cap at $3.7 trillion, this is the top, you just cant see it yet :)
even if they shrink the float over time, the market cap may never see $4 trillion, so this is the time to sell
all stocks that rise like this eventually tumble, even if still great company.
BOOK those PROFITS and wait for $90
doc2016
8 hours ago
by now we all accept knowledge is power. jensen's ai is currently the ultimate in such and developing at breakneck speed.
those who don't own some nvidia or want more, want the price to go down and then buy it because they are smarter than the sellers.
all companies want ai advantage and ability to predict with greater certainty the correct moves to make in business.
if you were a cave man without fire, you'd want the guy with the fire to give up on it and move on so you could get it.
the only reticence might be the potential for war, which if anyting makes ai even more important. smarter bombs/smarter defenses/ better drones and where to ue them, etc.
they didn't even mention dod want an ai network and potential segue with other government desires. if i did anything, i'd look to add agentic ai and orchetrator ip company to portfolio. nvidia is a mainstay.
DiscoverGold
11 hours ago
Nasdaq Traders Brace for Volatility as Nvidia’s Q4 Guidance Signals Supply Constraints
By: James Hyerczyk | November 20, 2024
Key Points:
• Nvidia Q3 revenue surged 94% to $35B, with AI chip demand driving data center revenue up 112% to a record $30.8B.
• Supply constraints for Nvidia’s Blackwell AI chips could last into 2026, limiting near-term growth despite robust demand.
• Nvidia’s Q4 guidance disappointed, with a $37.5B revenue target narrowly exceeding analyst estimates of $37.1B.
• Options traders expect Nvidia stock volatility, with potential 9% moves equating to $310B in market cap shifts.
• Nvidia’s market impact extends to major indices, influencing tech-heavy benchmarks like the S&P 500 and Nasdaq 100.
Why Did Nvidia’s Stock Drop After Strong Earnings?
Nvidia (NVDA) delivered a stellar third-quarter earnings report, highlighting its dominance in the AI chip market. Adjusted earnings came in at $0.81 per share, beating Wall Street’s estimate of $0.75. Revenue surged 94% year-over-year to $35.08 billion, exceeding analysts’ expectations of $31.3 billion. Data center revenue, the backbone of Nvidia’s AI business, jumped 112% to $30.8 billion.
Daily NVIDIA Corporation
Despite these robust results, Nvidia shares fell 1.7% in after-hours trading. The decline was attributed to its fourth-quarter revenue forecast of $37.5 billion, which narrowly exceeded the $37.1 billion consensus estimate. This cautious guidance dampened investor enthusiasm, particularly in light of ongoing supply chain challenges for Nvidia’s new Blackwell AI chip.
How Are Supply Constraints Affecting Nvidia’s Outlook?
Nvidia CFO Colette Kress noted that while Blackwell shipments are set to begin this quarter, the company anticipates supply constraints to persist into fiscal 2026. The overwhelming demand for Blackwell and Hopper chips, which power AI applications, highlights Nvidia’s market leadership but also underscores its production limitations.
CEO Jensen Huang emphasized that demand remains “staggering,” driven by a global AI boom across industries. While Nvidia is working to scale production, these constraints could limit near-term growth opportunities, even as the company solidifies its position as a cornerstone of the AI revolution.
What Does This Mean for Options Traders?
Options traders are bracing for heightened volatility, with implied moves suggesting potential price swings of 9% in either direction following the earnings release. With a $3.5 trillion market cap, this could translate into $310 billion of value added or lost. Given Nvidia’s weight in the S&P 500 and Nasdaq 100, any significant price movement will likely impact broader market benchmarks, amplifying volatility across the tech sector.
How Will This Impact Broader Market Sentiment?
Nvidia’s Q3 performance reinforces its dominance in the AI market but raises concerns about its ability to meet explosive demand. Investor sentiment toward Nvidia often spills into the broader tech sector, making its guidance a key signal for other AI and semiconductor stocks. Short-term uncertainty around supply constraints could weigh on the stock, but the broader demand story remains intact, supporting a positive long-term outlook.
Market Forecast: A Balanced View
• Short-Term Outlook: Bearish, as supply constraints and cautious guidance weigh on near-term sentiment.
• Long-Term Outlook: Bullish, driven by Nvidia’s unmatched leadership in the AI chip market and sustained demand for its products.
Traders should watch Nvidia’s supply chain developments closely, as they will likely influence stock momentum in the months ahead.
Read Full Story »»»
DiscoverGold
Jetmek_03052
13 hours ago
In my opinion, that is an unrealistic expectation.
Many have said that NVDA carries with it a bunch of unrealistic expectation as far as investors go. They think, not only should NVDA beat analyst expectations, but they should ALWAYS SMASH THEM. When they simply beat them, it isn't good enough. So, the stock price suffers.
Those that are in this for the "quick $200 rise" and then out? Forget it. The size of the OS base and the unrealistic expectations are against that. This will be a "hold for higher prices" type of thing now. And there will be slumps and spikes along the way.
doc2016
13 hours ago
bottom line there is a lot of quality dollars going to be main in the care, monitoring, fixing, teaching, getting fresh data for the beast. do you watch the goldrush show? you can have all the equipment and people set up but if you don't have good dirt with some gold in it. sometimes it takes a knowledgeable human to take a look see ....so the ai needs to get that into itself. starship troopers, , the head insects each the brains of their captives for the knowledge.
doc2016
13 hours ago
now we need to see if cuda-q and other non hardware can cover the hi and low's of hardware..they buy it but need to organize it, install it, network it, run it, optimize it, and then repeat on 2 year cycle if we can infer from jensen's referring to 2 year hardware cycles of new chips things....and with with it new capabilities while maintaining, dynamic networking, routing, and such as the architecture entity learns from old, current, and new data and data forms/configurations, physics, sensors, actuators. bottom like this is going to be akin to a living and learning whole which must be cared for, and helped and tested on it's work by itself, other machines, and humans. guesses.
many of us wonder what the proof of work/mining was all about. i wonder if it's a micro test to see if the new ip gets the same answer but much quicker.....better if they both get the same answer to same problem or there is a huge mountain top to obtain.