NVIDIA VS TESLA | NVidia's Plan to Be The Apple AND Android of Humanoid Robots against Tesla Optimus
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- Опубликовано: 13 май 2024
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Everyone's asking if NVDA is the next TSLA, but Few realize that NVidia is positioning itself to be BOTH The Apple AND the Android of Humanoid Robots!
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This video was sponsored by Shortform
Sections:
00:00 - Intro
02:02 - 1. My Investing Philosophy
02:33 - - EMH Beginnings
04:26 - - EMH Falls Apart
06:44 - 2. Data-Center and AI-Training GPUs
08:11 - - A Caveat
10:06 - - Boom!
13:36 - 3. The Apple and the Android of Robotics
15:47 - - Underutilized Asset
17:22 - - Ecosystem
18:22 - - Hardware Galore
20:17 - - Boom!
21:29 - 4. Automotive
22:57 - The Bottom Line 
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I love the “music video” at the end. It gave me a moment to process everything, instead of immediately trying to figure out what was next to click on. ☀️
Thanks for the feedback. Wondered whether to keep on posting these
I'm thinking of putting some cash in stocks, I was at Salt Shack and I overheard some friends saying it's ripe enough, but Is this a good time to buy stocks? I’ve been sitting on over $545K equity from a home sale and I’m not sure where to go from here, is it a good time to buy into stocks or do I wait for another opportunity?
The safest approach I feel to tackle it is to diversify investments. By spreading investments across different asset classes, like bonds, real estate, and international stocks, they can reduce the impact of a market meltdown. it's important to seek the guidance of an expert.
@ChrisCross-hf5su How can I participate in this? I sincerely aspire to establish a secure financial future and am eager to participate. Who is the driving force behind your success?
@ChrisCross-hf5su This is useful information; I copied her full name and pasted it into my browser; her website popped up immediately and her qualifications are excellent; thanks for sharing.
Whatever you decide, remember the power of dollar cost averaging over time when building a stock position.
I don’t give investing advice and you shouldn’t be so naive as to accept anyone’s advice on this matter. Do your own research. Be prepared to lose a little money by picking some winners and losers before you determine your own investing strategy and commit a large amount of money to anything.
I was just thinking it must be time for another of your excellent videos!
I bought 500 shares of Nvida at $65 after applying for a job there and bring rejected. Their interview process was the most comprehensive and stringent that I encountered during my 45 years in the industry. (Retired now) They hire only the very best of the best, and it has paid off for them (and me) in spades. It is not surprising that they dont have layoffs. No deadwood.
0
Tesla is the next Tesla
thanks again for your great and meaningful content ❤
I would think inference is where the biggest growth is in the future and NVIDIA isn’t currently the best solution for that. I thought Teslas chip or GROC were better.
The risk is analog computers that better mimic the functionality of a brain cell with a tiny fraction of the transistor count, heat and processing time.
I often think the same. I get the explosiveness of Nvidia is due to the ai chips thing, and I understand it. Parallelization is the key here. But considering it as a long term investment I'm not so sure anymore.
Neuromorphic computing or some kind of compute-in-memory architecture is not there yet, there are many problems and bottlenecks to overcome, but imo the moment it reaches scalability it is absolutely plotchanging since, as you said, it is the most suited architecture for neural networks, and gpus are still limited to the memory bottleneck and Von-Neuman architecture.
If I imagine a long term thing, I definetely imagine neuromorphic chip startups climbing all the way to the top and unseating Nvidia, and I dont see Nvidia moving in this field.
Really interesting thought, which many people have been having for a long time, but these clusters can now do more than a quadrillion floating point computations per second. Hard to imagine an analog computer matching this. Now, of course, there is training and there is inference. The inference phase *could* be executed on an analog computer. Inference is requires less than a millionth of the computing power than training, for most ML tasks.
@@rand314 A human brain does training and inference all in the same analog neural network.
I get what your saying, I'm just imagining how the future of computed neural networks will be. I imagine end to end systems, from perception to action running in analog chips. With capability for both artificial remote and natural on the fly learning computing.
Again, very in the long term here.
Okay. That's the long-term bull case. Your opinion seems rational enough.
Is there a bear case?
Oh, yeah. There are variables in play. Depending on how they develop, nVidia's potential for successful disruption and growth could be hampered.
Some of the less impactful variables (I'll get to a much more impactful variables in a moment) include:
How much compute is needed to drive AI development?
Our instinct might be to say 'a lot!' But that doesn't answer the question.
Altman sees trillions of dollars going into AI training centers, because compute is the obvious bottleneck to model improvement. But in fact, there are other avenues for improvement that could lower compute requirements substantially - and there is a powerful motive to pursue those alternatives, because energy is constrained and costly.
Agentization can result in smaller models with less training outperforming larger models with more training. We've only just begun to scratch the surface on this approach.
Data curation is another key variable. Higher quality data means less compute is needed to get a good result. Data curation has, until recently, been constrained by human labor, which is expensive. But LLMs can learn to curate data themselves, leading to a positive feedback loop: better data curation --> better model --> better data curation.
What this means is that there is no linear relationship between compute cycles and model quality. Which only increases uncertainty about how much compute nVidia can sell. Some, certainly. A lot, probably. Exactly how much, nobody sane would allow himself to be pinned down.
Those are some of the lesser variables in play. But what about the Big Giant Variables?
High-end chips have a labyrinthian supply chain involving perhaps 10,000 companies across dozens of nations, from raw materials to assembled, finished products. Many of those companies are sole source. And they rely on safe global trade to occupy their niches in chip manufacturing.
It's the 'safe global trade' that is the question. Will nVidia even be able to sell *any* hardware in coming years?
Globalization is morphing into something different. Certain suppliers are dropping out. Others *might* drop out. War is already disrupting elements of the chip supply chain. That could get a lot worse.
Now, there are other variables in play, but I'll mention just one more. It's another big one.
AI researchers love to talk about how AI will usher in an age of plenty. But invariably, their schemes for making money require displacing human workers.
*All* of their schemes. That's the business model they all pursue.
What happens to an economy where jobs are vanishing like fog under a hot sun, and wealth is concentrating into the hands of owners of capital?
Sure, they can offer goods and services cheaper. But who will afford to buy them?
If we don't come up with answers, AI will destroy consumer demand. The only demand remaining will be luxury goods for the rich and demand for equipment and weapons for police and military purposes. We'll need a lot of the latter, because unemployed workers can become unruly, to put it mildly.
What valuation can we assign to nVidia amidst all of this uncertainty?
I dunno. I think nobody knows.
The bear case assumes some of these variables will go in an unpleasant direction for nVidia.
Short term, nVidia looks very good. But there are reasons to be cautious about future prospects.
Here’s my analogy; image a processor as a can of paint. The colours are almost endless and can be very exciting, but if you have to hand paint the building it’s an injustice to the former. The number one bottleneck with current AI architecture is training; both training time and efficiency, and training data. The number one bottleneck in training time is data transfer (bandwidth) and number two is processor efficiency which is the main limitation of Nvidia GPU systems. Tesla has had to make up for Nvidia’s limitations by purchasing more units which makes Nvidia and the stock quite happy. Dojo was specifically engineered to eliminate these limitations (see Tesla AI Day 1&2) requiring a third the resources. Yes, the ramp of Dojo has been a rough one - there is a snag in the transition from v1 to v2 (can’t wait for the next update) - and when it’s resolved Nvidia’s place will be quite defined. The AI/Smartphone universe will be Tesla (Apple) and Nvidia (Android).
While Nvidia is very innovative, they still operate in legacy mode without first principles thinking, disregard for the status quo and heck bent on solving the root cause/problem. Making small incremental steps over large spans of time as to never fail and secure one’s retirement is not innovating or disrupting. In that vain, I don’t see Nvidia as a disrupter at all. Do they make a killer product, it’s apparent the answer is yes. Is it the best they can do, absolutely and unequivocally no.
I almost agree on everything. Both Jensen Huang and Elon Musk are visionairs. The main difference is that Jensen is more like Bill Gates' Microsoft approach: building and powering an ecosystem, Elon is more like Steve Jobs' Apple approach: vertical integration, build everything in house and control.
Nvidia is disruptive: they created GPU's, which lead them at the forefront of IA. The Metaverse potential is huge and disruptive too, but many don't see that yet.
Nvidia's mission is to do what nobody else can do (Jensen's words) aiming to lead in innovation and deliver value to its customers and stakeholders.: accelerated compting is not just GPU's but the whole stack: building a platform that completes and accelerates by a factor 10 or more an existing platform (hardware, software, network ) for a specfic need.
Tesla's mission statement is: "To accelerate the world's transition to sustainable energy.": Solar energy, powercharger, EV, robotaxi: disrupting transportation, and oil& gas industry
Jensen is putting all his creativity in Nvidia which is creating new markets (multiple S-curve growth potential over time), Tesla is disrupting existing markets. Elon is creating multiple separate S-curve growth opportunities (SpaceX, Neuralink, Starlink), but outside Tesla (Optimus might be a spin-off).
@@phvaessen I concur as well. It will incredibly interesting to watch this all play out.
It will be interesting to see how rapidly the robotics market grows. Tesla making an advance level humanoid robot with true volume production in mind, so keeping costs down, could grow the market rapidly while closing the door for most small companies to compete in the robotics space.
When hearing the idea of starting a robotics company now thanks to Nvidia, for a moment that sounded possible, but it seems like if you do not already have a robotics company going now, odds if success are super low. Any business has high odds of failure, but being a truly independent robotics company now seems extra hard since so many well funded companies are already in the space.
I see where you are going with this. That's what M&A are for. With billions of $$ they can get top talent or acquire a co that made progress already.
Regardless, one of leading robots like Teslabots and a few Chinese competitors have been in the field only for a couple of years. They religiously poach best people from each other.
Thank you!
Love you analysis. Keeo up the good work! Production of videos are getting better and better as well!
An excellent capsule analysis of NVDA. Thanks !
Even if at times the exclusion of some factors are shaky, good and solid analysis, sharp! Keep it up
Thanks for a succinct video. I am all in on TSLA and considering NVDA. Your video left me wanting more on NVDA’s real competitive advantage. Is it their head start on chip development? How durable is that?
Disclaimer: not a single stock investor (nor care to be), however a happy Tesla customer.
Wanting to get into generative AI for images and video, unhappy with the limitations of closed systems (MidJourney and DALL-E and Leonardo and the rest) I'm having a great time with an open source tool called Stable Diffusion.
I am not a gamer either, and SD is optimized for (you guessed it) NVDA, my powerful M2 Pro MacBook is unable to run it (it does run but takes a full hour for a single image!)
I'm renting RTX 3090 Ti GPU space currently, and may well have to buy a PC just to drop $900 on an NVDA product. I am not only generating art but also training my own custom models, which gobbles up huge GPU time. But what I can do with it is remarkable - and endless.
IDK how long it will take for AMD or even Intel or Apple or (fill in the blank) or some newcomer to catch up, even in this simple scenario.
I'm just really happy to take advantage of NVDA's capability today. And AI (as the host said) is just starting.
I’m feeling pretty stupid for selling my NVID a few years back.
I feel for you Dude and, unfortunately, I also once sold my shares in a rich voyage just before the ship sailed. It's painful.
Listen carefully to Elon because he drops significant clues sometimes.
Try when I was holding about $500k at I think $18
@@ssing7113 I was holding $10k at $150. Thanks, I feel better.
Well before I got serious in the market, I was hating on apple and Nvidia because of their price gauging. Young and dumb, I didn't think of buying the stock as I only looked at their product and pricing. When I got into the stock market, I bought Tesla to invest in. Maybe 20000 to 25000 dollars with when it was around 22 to 25 dollars after it's IPO. What being young and dumb again as I just had started learning day trading and short term swing trading, I sold the shares for a loss. Sadly, expensive tuition for me. Another story was when I bought a few hundred shares of AMD as a friend pissed me off when the price was back at $2. I eventually bought more when it went to 3.50. it was right before the entire brexit thing and I knew I should have held through. I was averaging up. The day of brexit came and the market tumbled down. Amd didn't bounce back as I was patiently waiting and sold for a loss. Sometimes having those diamond hands on losses really doesn't help with the stocks you should have diamond hands on for the long run.
A few number of stocks I was early on, I was young and dumb on, that would have made me a millionaire by now retired on some tropical island, were sold too early.
Very good video
Yes, NVDA is will undoubtedly play a major role in the age of robotics and AI, but their current intrinsic value that I have modeled is slightly below the market price.
Simple fact is Inference computing for AI is more important than training compute. Nvidia is not the leader in inference computing, guess who is… and Nvidia is also not the power efficiency leader in AI… guess who is. If you downplay or don’t think these things matter, you don’t understand embodied AI and robotics.
Robots opportunity seems huge
BTW what's that tune at the end of your video?!
Go Off by Milano
@@Bonjevalien Thanks!!
I'm reminded of Rockwell Automation. They definitely locked in their customers with hard core licensing, but they didn't innovate much. Not saying this is the case with Nvidia, but something to be aware of. I've been burned one too many times buying things at the peak (2 Trillion market cap?) I'll wait it out this time.. Thanks CTD.
I thing long term dojo is teslas biggest bet and they will put all their resources to it. Even nvidia ceo said that he has competition from his own clients. So just from the side of competition we as investors have to diversify
In driving, NVIDIA is supplying the hardware needed by Mercedes and other legacy auto manufacturers so that they can quickly equip their vehicles as Tesla has done for a dozen years. But where does the software and application expertise originate? NVIDIA cannot do this piece for legacy -- each company has unique vehicles, unique tier'd supplier products, unique batteries and power trains, etc. Maybe NVIDIA's hardware is a big step, but possibly it's pearls to swine.
All in on TESLA but still have NVDIA 👀
Excellent vidéo ! Let's dream a bit: the potential of 10 billion human robots at $25,000 each = $250 trillion -with a slow start, quicly increasing, let's say sold over a 10-year period, with the last year equal to $100 trillion or 4 billion new robots.. The equivalent of the world's annual GDP in 2022 (estimated at $95 trillion) !
Tesla can't do that alone, Nvidia neither. it's a new industry. By the way, there are over 1.4 billion motor vehicles in use worldwide, the robot TAM is much larger.
Nvidia is building an environment to provide robot builders with all the tools they need to accelerate their development: Omniverse , basic applications (visual and tactile recognition, voice expression, human language interpretation and translation, etc.), and the use of Nvidia's central artificial intelligence data center for training new specific skills, and of course compatible hardware platforms (Nvidia Thor). This enables a large number of startups to develop their own robot for a fraction of the R&D price, but also to create robot-specific skills, robot Apps, which will then be sold on compatible robots (Nvidia inside) and Nvidia will receive part of this revenue.
Tesla, to move faster, opted for vertical integration (doing everything, controlling everything), while Nvidia preferred to focus on openness and the development of an ecosystem that multiplies opportunities and leverages R&D beyond Nvidia's internal competencies. It's very similar to the early days of the PC: Apple II, then the MAC versus Microsoft and MS DOS followed by Windows. Apple had a head start, but a few years later, Windows was installed on 95% of PCs.
This new industry, the $100 Billion humanoid robots, and all the new robot apps, will be largely defined by two companies: Tesla and Nvidia. In that case, I think that the goal of 10 billion robots within 10 to 15 years is achievable, because it no longer depends on a single company but on a new industry that will emerge.
Same with autonomous driving: Tesla has a headstart, Nvidia drive will help many car manufacturers to catch up (BYD, Mecedes already use Nvidia Drive). A car is nothing more than a robot on wheels. In fact autonomous driving is more difficult to bring to market, due to human risk of accident, than a robot.
The two companies, Tesla and Nvidia, will create and dominate a new industry equal to the global worldwide GDP of 2022, within 10 to 15 years.
Of course, I own both Nvidia and Tesla stock !
I'm sure the AI boom will continue, and will never really stop. But that doesn't automatically mean Nvidia stock price will keep going up too.
The stock price is based on margins and growth, and those are only guaranteed as long as there's no competition. We know that there are competitors knocking on the door. Even Tesla with Dojo.
So even if demand keeps going up as before, Nvidia may lose market share, and also loose it's excessive margins. Eventually AI chips will be commodities like the good old graphics cards.
And the growth of demand may slow down too. This is the boom time, but eventually the dust will settle. That also limits Nvidia's growth, and through that it's stock price.
Also, while their AI platform is an excellent extension of their core competency, it's not proven just yet. It seems that simulations may not be as valuable as we thought, even for robots, they seem to learn orders of magnitude faster in the real world. With cheap physical robot bodies training in the real world at scale is practical, and could even be cheaper than running sophisticated physics simulations.
And finally there's inference too. Once AI systems and robots get deployed in large scales, inference will be more important than training. Especially in robots that need an onboard inference computer that's powerful but doesn't drain the battery too fast. And this is where Tesla has a massive advantage over Nvidia.
Conclusion : Nvidia is probably overvalued, at least for the next few years, but Tesla is massively undervalued, even with the stock price skyrocketing recently.
Like you, my 3 stocks outside of my conventional IRA (handled by a Broker) are Nvidia, Tesla and ARKK. Innovation and disruption is where the $$$$$ is.
What about Palantir?
I'm underwater at the moment.
Tesla has an advantage in autonomous driving because it has lots of real life data. But I can imagine ways of capturing real life movement data for humans that would render simulations obsolete or at least not as important. Robots being able to observe people or videos and learning as well from them. Or a product that people would wear that provides value to the person but also gathers data.
I would certainly buffer potential catastrophic losses with a few puts . Just in case
The difference is, NVIDIA has to accustom an infinite number of different bots, which means it won't excel at anything. Optimus can be as optimized as Tesla is willing to go, which means that it will be the better system
10:40 most important concept AI will use AI because less than 0.1 percent will be remotely competent to contribute anything useful to the progress. Thus creating 100xs economy of its own. There is irony that someone can benefit from this being just smart enough to understand that they are too slow for what is coming and that is their only chance to catch the train.
I can't wait when they can revolutionize and mitigate the costs of housing, medical care, legal field/ security .
I think these are big three . The first one will be transportation thanks to EVs like Tsla
As long as they do not squander all the potential and resources on Terminator warfare in eastern Europe.
This run up of NVDA was historically high and it’s extremely likely to be the peak for many years.
I see the following headwinds for NVDA.
1) Reduced profit margins.
This is due to a few reasons. Firstly their new H200 chip is basically 2x H100 chips glued together which they will be selling for slightly more than the H100 so their profit margins which are really too high currently will get reduced significantly (also halved). Additionally there are many potential competition from key buyers of NVDA chips. Tesla, Google and others who are buying these chips are also investing in making their own. So the rush for chips will end soon.
2) Power usage will slow adoption.
The power usage of AI chips is getting crazy high and we will run out of electricity to run all of these AI models soon at the current growth rate this this will have to slow drastically.
3) Too much compute and not enough data.
The power of these chips are so high and models are getting so big that they will start running out of things to compute or run models on. There will also be data roadblocks in that certain platforms won’t let companies pull data from it due to privacy concerns, cost and the potential value of that data (I.e they will charge for the data so it will get much more limited use).
4) Robotics and Self-driving will not be significant growth for NVDA.
The chips running robotics and self driving cars will not be enough to make a substantial improvement to NVDA’s bottom line. They will make small profits off the chip but the majority of the value is in the end product and services the robots will provide. It is extremely unlikely NVDA will get a cut of the services fee since you don’t see similar cost structures setup from other chip manufacturers in the past. For example, intel never made money from software sales. Also both are a few years out from hitting the bottom line so also not a growth opportunity currently.
Lastly, being the android of AI isn’t necessarily going to do much for NVDA since google doesn’t really make any money from Android in general.
I only have 2 stock companies.
Amazon and 1,038 shares of Nvidia.
5 months ago i sold all my 6,300 Tesla shares and bought Nvidia and Amazon.
Why did you sell Tesla? It's the main play in this new frontier of All. Amazon and Nividra are good bets ,but the main play is Tesla. Only my opinion. Good luck.
@@Sue-zz3lj
Sold Tesla for $ 250 and bought Nvidia for $ 600 so I am way ahead.
❤❤❤❤
Ons salient point about insider trading, it's only illegal if you are not a member of congress.
In the long run the cost effective solution won't be found in the GPUs. GPUs are yesterdays AI processors.
Software/AI advances are going to be so rapid that every company will be in a continuous development race. Only the nimble, the heavily financed, and the lucky will keep up. Changing AI models and changing AI architectures will doom many.
The cost effective solution to humanoid robots will be in the manufacturing (COGS) and in energy efficiency (production/charge). If you want to see this look at the EV market. Some lesser players will survive only by entering niche markets.
If Figure AI goes public...it will be an excellent long-term investment. Either Amazon or Microsoft will eventually acquire this company.
If an automaker goes with NVDIA's hardware for a road to autonomy, would this not just get them to Basecamp?
They would surely still need to collect billions of miles of data from cars yet to be fitted with the necessary cameras and onboard computer, then train the Neural Nets on a supercomputer they do not yet have? This would take years.
We all know who already has over 1 billion miles of driving data from their fleet of cars going back to 2016, and who are about to plant their flag in the Summit.
Nice pfp 👋
don't get your hopes up. this is a bubble
Which robot in the line up do you believe will kill you...I mean turn on you??😊
This video would have made sense before nvidia blew up 800% in a couple years.
Value baked in for 6 years. The recession will cause the 2/3rds of its customer base ( MAG7 ) to pullback along with timing for them having built up their own fortress of AI cloud ( along with them writing it off 😂 ) that nvidia will be in pickle to provide what the mag7 aren’t already.
Could it happen. Sure. Yet nvidia is getting way too high margins for people not to and full frontal attack them. Heck look at Tesla wheee how companies literally just copy whatever Elon says anymore. No more laughing at him. Just straight copy his every move now
Other chip makers will have seen the rise in NVIDA and will get serious about competing more aggressively in the datacenter space making ever better GPUs.
As to NVIDIA's robot OS, I would think other companies will design chips that will run an emulation of NVIDIA's chipset and try to capture market.
I do see NVIDIA as a major player in the robotic space and robotic training. Especially for startups.
I forecast that NVIDIA stock will fall once Intel or AMD gets their acts together and announce a competitive chip for either GPU or robotic CPU. That might be another good buying op.
On the self driving front, NVIDIA would be best to stick with small things with less complicated things that require billions of miles of real world data. Driving the death machine we call a "car" requires data NVIDIA can't just automate in a synthetic environment. Something like self driving farm tractors and harvesters. Replacing all of McDonald's workers with robots allowing them to be completely drive through only with credit card or Apple Pay only. These would be the direction I would steer NVIDIA towards.
I think Tesla will be specializing their robots to be best for large industrial use in factories, on rooftops, etc.
How come humans don't need billions of miles to learn to drive? Could it be that there is considerable room for improvement in neural network architecture? If someone discovers how to make electronic neural nets work more like the biological circuitry we are born with, that might evaporate Tesla's and Nvidia's present advantage.
@@davidagnew8465 For sure! Possibly if they reach a good AI, it will learn how to improve itself. Course then we are all screwed as it will literally become superhuman soon thereafter.
Stop saying “overshooted”. The word is “overshot”. You don’t say I “shooted a bird with my gun”.
Nvidias bot offering does look good. But the price is high compared to Tesla’s. I like the company, haven’t pulled the trigger on the stock though.
Tesla is a car manufacturer. Nvidia is in a new industrial revolution of AI. There is no comparison. AI is at its infancy. The future will ne immense.
Tesla is also an AI company
You comparing TSLA with NVDIA? Lol...
TSlA and NVDA are wings of the same bird.
meh, nvidia is cool but it aint going to be no tesla
Jensen is never as cool or inspiring as Elon but he sure picked up the slack when Elon is fighting woke 😂😂
Exactly you get it.
The two biggest positions of my portfolio upon it's finding in early 2019 have remained Tesla & NVIDIA.
The synergy between the two coupled with their domination of their respective donations was unlike anything I've ever seen.
Tesla had me for it's leadership in EV's , Energy & autonomy.
NVIDIA had me for it's AI research, AI acceleration chips, cards & networking, autonomy in drones & vehicles.
First in neural networks & LLM's NVIDIA is both a provider of cutting edge AI models & services AND the training & inferencing hardware they run on, so both the Apple & the Android.
Then came robots. Tesla is the Apple & NVIDIA is the android here.
My main portfolio contains 20 assets but due to appreciation is 90% Tesla & NVIDIA.
I'm leveraged on shares in both with only Nvidia far up in returns.... Tesla is next. I'm expecting another 2x from NVIDIA in this year. I'm expecting 4x+ from Tesla this year.
I believe Elon recognizes that woke will be a serious obstacle in the march towards AI driven progress and is doing the necessary work to head it off and weaken it so that our collective future will indeed be bright. Elon for the win! Doing the unpopular stuff for the benefit of everyone else!
In situations like these I've had successes setting long, low buy orders.
Intraday spiking can be significant.
Lmao jenson has been doing big things while Elon has been doing big things. Both are winners.
What is woke?
Apple is the next Apple.
I have one big problem with Nvidia, they will have many products, use by big companies and not only, as IBM has, but would you buy IBM stock or Apple?
And Nvidia can't make and sell any AI model, because they will lose customers, because many companies will not buy from competitors. They can do this, but if they do, then it will be good time to buy, because current revenue will collapse. And they are only can take this part, because I personally think AMD and others will make own AI chip, Nvidia is winning now because software support, but Intel did win server market from AMD... and we know where it ended. And companies are not gamers, which buy and BS company give them.
If a company other than tesla cracks autonomous driving and most car companies start using their central computer, operating system and self driving suite, who would be worth more - the company making the brains or the one making the metal?
AD guys are always sharing information that is useless today but would've been valuable to others not as lucky or curious to be in a Roadster in Burbank CA 16 years ago. Also being a Mac graphics and music guy since early 90s always in search of bigger, faster for Macs - guess which co. along with AMD was a no brainer to invest in when you saw what GAMING was coming? PENNIES compared to today's price; fatefully blasting pixels became such his res power that it's inherent features became useful for an entirely different industry later well, who knew? Well I did. 2+2. Where were you dot guys 7-14 years ago before the Big Money was made? Now, LATE you chirp for $? LOL
The scope of potential of new tech companies is the next level, just as the Internet was the next level tech for the likes of Google etc.
10X valuation boost for Apple Vrs the top company 10' years earlier... we ARE looking at the next 10X ..30+ trillion $ companies.
Tesla/Nvidia are the new 10X , other new tech companies to follow. Amazing times ahead.
And things will move faster and faster🚀🚀🚀
I believe Nvidia has a great future, although I struggle to justify it current price, if they don't announce anything else it may fall some more before going up, Tsla on the other hand is close to rock bottom, so for now I'm going to keep mostly Tsla
That's because you don't understand what Nvidia is monetization opportunities really are. Although the robots are quite an interesting massive total addressable market, that is the obvious next level expansion in their revenue generation. There is another more near term re venue engine that they are currently queuing up and that is the inferencing revenue. They mentioned this during the last quarterly report. 40% of their revenue from AI services came from inference. That's basically the 100% margin services that are deployed with models that in many cases are designed by Nvidia itself across multiple verticals. The Wall Street analysts have been completely neglecting how quickly these services revenues are going to increase. This is like the AWS of AI services.
The current price of the stock is significantly undervalued when you add in the expansion of AI services revenue from inference across all of the various verticals that are possible dozens and dozens of verticals.
I own Tesla as well as Nvidia but there is no way I would sell all of my Nvidia to fuel Tesla. I did sell some Nvidia In late 23 to fuel fuel, a depressed, Tesla and increasingly because of the difference in valuation between the two stocks. Once Nvidia continues to appreciate, I may convert more shares over to Tesla since Tesla is still severely undervalued compared to Nvidia but both are going to be destroying any growth potential coming out of any other company in the market.
Only 0-day events happening to very obscure stocks will be able to give growth return rates in the vicinity of what we will see in the next 2 to 4 years from both Tesla and Nvidia.
Let me be bold before this year is over. Nvidia will have doubled its valuation at the minimum.. So that's an $1,800 per share price by the end of the year assuming we don't get a split.
However, Tesla is going to double that at a minimum Tesla will go up four times plus from its current share price.
These are not hopes and dream estimates. These are guarantees of minimum growth. The reality is actually going to be greater. I don't know how much greater but I can I can. I can bet whatever you want that Nvidia will be double the current price or more by December 31st. 2024 and Tesla will be 4x the current price or more.
Do your own math, verify my results... And make a big bet... Staying on the sidelines is not an option unless you want to. Really regret your non-action in 7 months time.
@@DavidSaintloth yes I believe these are the best two opportunities In the market available right now for long term growth. for the next few months I think Tesla will grow a lot and Nvidia not as much, probably stabilize around these prices untill the company growth catches up a little, then go up from there, both are great opportunities long term, but valuation wise i think Tesla will be growing sooner and more, Nvidia has some of this wave of growth priced in, Tesla doesn't have their next wave of growth priced in yet
Tesla is buying Nvidia hardware now ... Tesla can't compete, they don't have the resources or capital.
Nvidia makes general hardware, there’s always massive savings to be made by building a system specific to your use case - that’s why every large AI company is trying to: Google, Meta, Microsoft, OpenAI and Tesla
CHINA is a huge disruption. What would happen to Tesla if BYD released a well-made $25K EV in the US? What happens to NVIDIA's stock price and viability as a company when China takes Taiwan by force within the next 10 years?
It will never happen because the government is putting a massive tariff on Chinese EVs, and you can only cut so much cost before you are simply making a shittier car. And Taiwan won’t fall because the US will defend it
Nvidia doesnt make anything. TSMC make all their shiet.
What will all these robotics companies have to give away in return for this devil's pact with Nvidia? Nvidia will surely want more than a simple one-time payment for the chips. Will they have to share future profits with Nvidia? Share training data? Will their investors like that?
Many of them may decide to use some other companies' inference chip instead (Nvidia has no persistent moat in inference - see tsla fsd chip)
Love that this guy, who consistently puts out wild predictions, none of which have come true, has the confidence to dunk on professional analysts.
Most of my predictions have come true, and i stand behind this one as well
Very serious accusation, prove what he was wrong about, or stop accusing people.
00:20 "Like Tesla, NVidia is a powerhouse destined for a bright, profitable future." 20 seconds in and you have already said something ridiculous. Tesla is going bankrupt. I'm out.
You're hilarious on so many levels. Thanks for a good laugh!
Profitable company with $28 billion in cash and no debt apparently destined for bankruptcy
@@zachb1706 Say you're an Eloon simp without saying you're an Eloon simp.
Omniverse is shit. Everyone Ive met whos used it also thinks its trash .