In short
AI Today Podcast Episode Notes
Episode Title
The Bold $16.5B AI Chip Move by Tesla
Episode Summary In this episode of "AI Today," the host discusses Tesla's recent $16.5 billion contract with Samsung to produce next-generation AI chips. This strategic move is intended to strengthen Tesla's position in the AI-driven vehicle market and has significant implications for both the automotive and AI chip industries.
Key Takeaways
- Tesla's Investment:
- Tesla has committed $16.5 billion to produce AI chips with Samsung.
- This investment is part of Tesla's strategy to maintain a competitive edge in the increasingly AI-focused automotive market.
- Strategic Partnerships:
- Elon Musk's announcement highlights a shift in Tesla’s supply chain strategies, utilizing both Samsung and Taiwan Semiconductor Manufacturing Company (TSMC) for different generations of chips.
- Musk is leveraging competitive dynamics between suppliers to negotiate better terms, ensuring cost-efficiency.
- Chip Development Background:
- Tesla transitioned from using NVIDIA's platform to developing its own custom chips in 2019, indicating a long-term investment in AI chip technology.
- The latest chips are designed for self-driving capabilities and potential robotics applications, notably in Tesla's Optimus robots.
Discussion Points
- The Significance of the Samsung Deal
- Manufacturing Efficiency:
- Tesla will assist Samsung in maximizing manufacturing efficiency at their new fab in Texas, which could lead to improved chip quality and production speed.
- Geopolitical Implications:
- The move is seen as a strategic play to localize AI chip production in the U.S., reinforcing the importance of AI technology as a geopolitical asset.
- Comparison with Other Companies
- Supply Chain Strategies:
- The host contrasts Tesla's approach with that of Apple, which tends to favor long-term relationships with specific suppliers (like Foxconn), instead of rotating suppliers like Tesla does.
- Risks and Benefits:
- There are operational risks associated with using multiple suppliers, such as quality inconsistencies, but this strategy can lead to cost reductions through competitive bidding.
- Future Prospects
- Scaling Production:
- Musk hinted that the actual output from this partnership could exceed the initial $16.5 billion investment, indicating potential for expansion and increased production scale.
- Applications of the New Chips:
- The new AI chips will not only be integral to Tesla vehicles but also to their robotics initiatives, emphasizing the broader impact of this investment on Tesla's future direction.
Conclusion The episode wraps up with a call to action for listeners, encouraging them to rate and review the podcast, and to explore the AI models available on the host's platform, AIbox.ai.
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Additional Resources
- AI Box: [AI Box Website](https://aibox.ai)
- AI Chat YouTube Channel: [Jaeden Schafer's YouTube Channel](https://www.youtube.com/@JaedenSchafer)
- AI Hustle Community: [Join the AI Hustle Community](https://www.skool.com/aihustle)
This episode provides valuable insights into Tesla's strategic maneuvers in the AI chip space and how these decisions could influence the automotive and tech industries moving forward.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Tesla 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.
0:33But 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 AIbox.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, 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 Flux 1.1 Flow, with Ideogram, with ChatGPT Image 1, and with Flux 1 Chanel.
1:06Anyways, all the different models come up with different 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, 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 us some questions for a LinkedIn post and then switch to Cloud to come up with a better tone, all in the same thread without having to get subscriptions to every platform.
1:40So if you wanna check it out, there's a link in the description to AIbox.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 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 the chip that goes inside the Tesla to help it self-driving. Samsung was making their AI4 chip, but for their AI5 chip, they actually went to Taiwan Semiconductor Company. And then for their AI6 chip, they went back to Samsung.
2:15Now, 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 AI5, 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 so basically, what it feels like, though, is that Elon is kind of bidding out his suppliers against each other, right?
2:50So 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 from one company to another. like I think a great example of someone that doesn't do this is Apple right um 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 gonna just like ship all of our iPhones to get built in America this year and then in the next season we're gonna go over to Vietnam where there's a new right like Apple doesn't want to do that.
3:44Their 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 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.
4:15And 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 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.
4:46They've worked with them in the past. It's not a brand new person. They're capable of doing it. 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.
5:20But 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 Semiconductor Manufacturing. And also, they have their own manufacturing for their car. So like they're manufacturing, 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'll make sure the quality control probably an element of it.
5:49But 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 fab 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 uh you know manufacturing uh 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 um they said uh uh you know elon controls the similar 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 um some people said this tesla samson 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 chat gpt the it won't just be a chip it's a geopolitical asset yeah that's probably written by chat gp but the concept is good um so i think this is pretty interesting and uh definitely going to be a big deal 16 billion dollars now what's interesting is elon also said that this isn't going to be uh like the end it might actually get uh get bigger than the 16 billion dollars so this could be interesting he said quote actual output is likely to be several times higher um 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.
7:24So 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 three. 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 one of your chips like fries or brakes or short circuits or has some sort of issue, there's two right next to two systems right next to each other.
7:56And 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 all 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 to get into AI and also into robotics with their Optimus robots. So these chips theoretically will be used in Optimus robots and Tesla cars. It's kind of interesting as they design newer and newer versions, what they have to build there for all of this to work.
8:34So 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 Tesla. If you learned 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 AIbox.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's in the description to that. Thanks so much for tuning in and I will catch you in the next episode.
From the publisher
Tesla has unveiled billions into AI chip breakthroughs. This strategic investment aims to secure Tesla’s edge in AI-driven vehicles. This could redefine both automotive and AI chip industries.
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