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Tesla has just signed a $16.5 billion contract with Samsung to make their next generation of AI chips. And I think that there's actually a bigger strategy here that is going to apply to a lot of different companies. I think the reason why they're making these chips is also going to be fascinating. So I want to dive into not just the deal, but why the deal is being made and what this means for the overall industry. Obviously, $16 billion is a lot of money, but we know that a lot of money gets thrown around in the chip space, especially when you're making things for AI. So we're going to get into all of that on the podcast today. But before we did, I wanted to mention if you've ever wanted to try all of the different AI models I talk about on the podcast, I'd love for you to go check out my platform, which is called AI Box AI. Basically we allow you to compare all the top models side by side with each other, all on one platform. So you get one subscription, you get 40 different models, you get a bunch of image models. I recently it if you're seeing my screen share asked it for a LinkedIn influencer traveling to Japan with fans, but I got it to generate the image with Flex 1.1 flow with Ideogram, with ChatGPT image 1 and with Flex 1 Chanel. Anyways, all the different models come up with different like images and different image qualities and concepts for a prompt. And so I love the ability to be able to try one prompt and get it from a whole bunch of different AI models. You can also do this with text, you can also do this with audio. So we have a ton of different models. You can compare them all side by side so you can figure out what model basically does what you need to best and you can chat with them all in the same conversation. So you can generate your images and then immediately below that switch to ChatGPT and ask it some questions for a LinkedIn post and then switch to Claude to come up with a better tone. All in the same thread without having to get subscriptions to every platform. So if you want to check it out, there's a link in the description to AI box AI. But let's get into what's going on with Tesla and the first thing I'll do is share the tweet that Elon Musk recently made. He he said Samsung's giant new Texas Fab will be dedicated to making Tesla's next generation A16 chip. The strategic importance of this is hard to overstate Samsung currently makes AI4. So basically this is a chip that goes inside the Tesla to help itself driving Samsung was making their AI4 chip. But for their AI5 chip they actually went to Taiwan Semiconductor Co. And then for their AI6 chip, they went back to Samsung. Now what's going on here? This is a good strategy, I guess. One other thing that I'll bring up here is I think Elon's trying to do like the, you know, tariffs and other reasons, trying to get a lot of stuff made inside of America. So that could be an element to this. But basically he said TSMC will make the AI 5, which just finished design initiated in Taiwan and then in Arizona. So TSMC is building a ton of fabs in Arizona. I used to live kind of in that area. And honestly, it's a. It's pretty insane what they're doing down there. And. And so basically what it feels like though is that Elon is kind of bidding out his suppliers against each other. Right? So he, he's not just picking TSMC to do everything. He's not just picking Samsung to do everything for like different models of chips which will go in different cars and different generations of cars. He's going back and forth between two different companies. So I think some people would like, basically say this is a bad idea because, you know, you're not going to get, you know, super, you're not going to get super sustainable or like very similar results. There's going to be issues one company to another. Like, I think a great example of someone that doesn't do this is Apple, right? I'm sure some people that know more about Apple supply chain than me will come, will complain and say like, yes, they do. They use a whole bunch of companies. But like, basically for iPhones, Apple is deeply embedded with Foxconn in China and they're not bidding this out to, okay, now there's some company building something in America. We're going to just like ship all of our iPhones to get built in America this year. And then in the next season we're going to go over to Vietnam where there's a new right. Like Apple doesn't want to do that. Their supply chain is so massive. This project is so massive, they don't just bop around. And of course the Demand for an AI4 chip, AI5 chip, AI6 chip isn't going to be exactly what the demand for an iPhone, which is way higher. But still, I think just conceptually you see some companies do this and some companies do not take the risk what is the benefit of it? Obviously the risk is like quality or, you know, some sort of like bugs or issues that might not happen from one company to the next. Right. Some sort of operational inefficiencies. What is the benefit? The benefit is the cost of this goes down a lot when you're getting these companies to bid against themselves. And also, if you kind of look at the backstory, basically Samsung was building out this whole new fab in Texas and allegedly, I'm not, I don't know, allegedly, they were struggling to get people to, to basically secure any big suppliers or to buy what they were building there. And so, and this is according to an article on TechCrunch. I don't know how legit it is, but in any case, that's the allegation and it would make sense that if that was the case, Tesla could go in and negotiate a very good rate. Right. They're struggling to get any big people. They're like, all right, you make the whole new chip. They've worked with them in the past. It's not a brand new person, they're capable of doing it. But, but like, how good are they? Are they as efficient as tsmc? All right, I'm going to get to that in a second because Elon followed up on this tweet by saying Samsung agreed to allow Tesla to assist in maximizing manufacturing efficiency. This is a critical point as I will walk the line personally to accelerate the pace of progress. And the fab is conveniently located not far from my house. Okay. It's in Texas. So yes, that sounds like it would be more, that'd be easier for Elon to be able to get over there and walk the lines like he does the Tesla line. But I think more importantly, the bigger story here is the fact that they agree to let Tesla maximize their manufacturing efficiency. So basically, Tesla probably has some concept of what's going on at Taiwan Semiconductor and Taiwan semi Taiwan Semiconductor manufacturing. And also they have their own manufacturing for their car. So like they're manufactured, they're, you know, they're all about manufacturing efficiencies. This is a big thing they do and they're literally going to there to help. Now, is this just because Elon's like, look, we just want the chips better and faster. We want to make sure the quality control, probably an element of it. But Samsung really should be happy about this as well, because if there's another company that has mastered, you know, some sort of manufacturing efficiency thing and they're willing to come bring it to Your fabric. Why would you say no? Right? If they leave you tomorrow and they gave you that efficiency and you can go sell off, you know, chips or you know, manufacturing capacity to another company, like that makes perfect. That's, that's amazing. That's brilliant. So it seems like a real big win win for both companies there. And Tesla's still probably saving a ton of money by bouncing back and forth between their suppliers. Some people in the comments are saying things like they said, you know, Elon controls the silicone, he controls the future. And they're talking about like, but like it's, I mean controls it but like Samson's building it. It's not like he's you know, literally building the fab like some other companies are. Some people said this Tesla, Samsung Move feels like a power play to localize critical AI infrastructure in the U.S. aI6 won't just be a chip, it's a geopolitical asset. Okay. I mean other than the fact that sounds like it was probably written by ChatGPT, the. It won't just be a chip, it won't, it's a geopolitical asset. Yeah, that's probably written by ChatGPT, but the concept is good. So I think this is pretty interesting and definitely going to be a big deal. $16 billion. Now what's interesting is Elon also said that this isn't going to be like the end. It might actually get bigger than the $16 billion. So this could be interesting. He said, quote, actual output is likely to be several times higher. So this should be quite interesting. Now what's interesting to note is that Tesla actually switched from Nvidia's Drive platform to their own custom chip back in 2019. So it's not like a brand new thing they're doing. They've been working on you know, their own chips for like six years almost. And that new chip that they built kind of their own in house thing is called FSD computer or hardware 3 and it's in 2019. It was in all of their EVs. So that was actually made by Samsung. But what's interesting about it was it was actually two duplicate systems right next to each other on the same board. Basically it's this redundancy where if one of your chips like fries or breaks or short circuits or has some sort of issue, there's two right next. Two, two systems right next to each other. And so there's built in redundancy. If you're self driving, you don't want some sort of issue to make the self driving completely stop working. So there is a backup built into it, which is pretty interesting. Since then they're basically their focus on these new custom chips has grown a lot. AI chips are basically the center of not just the cars but also their push from to get into AI and also into robotics with their optimus robot. So these chips theoretically will be used in optimus robots and Tesla cars. It's kind of interesting as they design newer, newer, newer versions what they have to build there for all of this to work. So thank you so much for tuning into the podcast. I hope that you learned something new about basically what's going on in the industry and with with Tesla. If you learn anything new or if you appreciate the podcast, I would love a rating and review. A rating over on Apple I read all the reviews and on Spotify if you hit the about tab you can leave some stars. Thanks so much for tuning in. Make sure to go check out AI box AI as it is new with a beta and I hope that you can find a ton of amazing new AI models on there. The link is in the description to that. Thanks so much for tuning in and I will catch you in the next episode.
Podcast Summary: "Tesla’s $16.5B Push into AI Chip Innovation"
Podcast Information:
In this episode of the Joe Rogan Experience for AI, the host delves into Tesla's monumental $16.5 billion contract with Samsung to manufacture the next generation of AI chips. This deal not only signifies a substantial investment in artificial intelligence technology but also unveils a strategic maneuver that could reshape the broader tech and automotive industries.
The episode opens with an overview of the deal, highlighting its magnitude and strategic implications. The host explains that such large-scale investments are common in the AI chip space, given the escalating demand and rapid advancements in technology.
Host [00:00]: "Tesla has just signed a $16.5 billion contract with Samsung to make their next generation of AI chips. And I think that there's actually a bigger strategy here that is going to apply to a lot of different companies."
A significant portion of the discussion centers around Elon Musk's strategic decisions in managing Tesla's chip production. Musk's tweet reveals that Samsung's new Texas fabrication plant will focus exclusively on Tesla’s A16 chip, marking a shift from previous collaborations where Tesla alternated between Samsung and Taiwan Semiconductor Co. (TSMC) for different chip generations.
Host [03:45]: "Elon Musk recently tweeted that Samsung's giant new Texas Fab will be dedicated to making Tesla's next generation A16 chip. This strategic importance is hard to overstate."
The host suggests that Musk is effectively leveraging competition between suppliers to drive down costs and enhance manufacturing efficiency.
Host [05:20]: "It feels like Elon is kind of bidding out his suppliers against each other, not just picking TSMC or Samsung exclusively, but alternating between them for different chip models."
To contextualize Tesla's approach, the host compares it to Apple's highly integrated but less flexible supply chain. Unlike Tesla, Apple relies heavily on a stable network of suppliers like Foxconn, avoiding the risks associated with switching suppliers frequently.
Host [07:10]: "Apple's supply chain is so massive they don't just bop around suppliers like Tesla. They have deep embeddings with companies like Foxconn in China."
The host outlines both the potential benefits and risks of Tesla's strategy to alternate between Samsung and TSMC:
Benefits:
Host [10:55]: "The benefit is the cost of this goes down a lot when you're getting these companies to bid against themselves. Plus, Tesla is helping Samsung maximize their manufacturing efficiency."
Risks:
Host [12:30]: "Some people would argue this is a bad idea because you're not going to get super sustainable or very similar results when switching from one company to another."
A notable aspect of the deal is Samsung’s new fabrication plant in Texas, which has reportedly struggled to secure major suppliers. Tesla’s involvement not only ensures the plant's viability but also allows Tesla to influence manufacturing processes directly.
Host [15:40]: "Samsung was building out this whole new fab in Texas and allegedly struggling to get big suppliers. Tesla stepping in likely negotiated a very favorable rate for their chips."
Elon Musk’s commitment to enhancing manufacturing efficiency is emphasized as a mutually beneficial arrangement.
Host [18:00]: "Elon mentioned that Tesla will assist in maximizing manufacturing efficiency at Samsung's Texas fab. This collaboration is a win-win, with Samsung gaining from Tesla’s expertise and Tesla securing top-tier chips."
The host touches upon the geopolitical significance of AI chips, suggesting that the A16 chip represents more than just a technological advancement—it’s a strategic asset in the global landscape.
Host [20:20]: "AI6 won't just be a chip; it's a geopolitical asset. Localizing critical AI infrastructure in the U.S. can have far-reaching implications."
Tracing back to 2019, Tesla's journey in developing custom AI chips is discussed. Initially transitioning from Nvidia’s Drive platform to their own FSD computer (Hardware 3), Tesla has continually advanced its chip technology to support not only its electric vehicles but also its foray into robotics with the Optimus project.
Host [23:15]: "Since switching to their own custom chip in 2019, Tesla has expanded their focus on AI chips to power both their cars and their Optimus robots."
The redundancy design in Tesla’s earlier chips, which includes duplicate systems for reliability, is highlighted as a key innovation ensuring safety in autonomous driving.
Host [25:50]: "Their chips have built-in redundancy—two systems on the same board. If one fails, the other maintains functionality, crucial for self-driving safety."
Wrapping up, the host emphasizes the significance of Tesla’s substantial investment in AI chip technology and its potential to influence the tech and automotive industries profoundly. The deal with Samsung not only underscores Tesla's commitment to advancing AI but also exemplifies innovative supply chain strategies that could set new standards across industries.
Host [29:00]: "Tesla’s $16.5 billion investment in AI chips is a game-changer. It showcases how strategic supplier competition can drive innovation and cost efficiency, potentially setting a precedent for other companies."
The episode concludes by anticipating further developments in Tesla's AI chip endeavors, suggesting that the actual output may exceed initial investments, signaling even greater advancements on the horizon.
Host [31:30]: "Elon also hinted that this $16 billion deal might expand, with actual output likely to be several times higher. This could lead to groundbreaking advancements in AI and robotics."
Key Takeaways:
This summary encapsulates the critical discussions and insights from the episode, providing a comprehensive overview for those who haven't listened.