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Dylan Patel — The Single Biggest Bottleneck to Scaling AI Compute

Dylan Patel — The Single Biggest Bottleneck to Scaling AI Compute

71 segments available

Dylan Patel, founder of SemiAnalysis, provides a deep dive into the 3 big bottlenecks to scaling AI compute: logic, memory, and power. And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers. Learned a ton about every single level of the stack. Enjoy! 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://www.dwarkesh.com/p/dylan-patel * Apple Podcasts: https://podcasts.apple.com/us/podcast/dylan-patel-deep-dive-on-the-3-big-bottlenecks-to/id1516093381?i=1000755126873 * Spotify: https://open.spotify.com/episode/5qiibwoBWY5rXyflK7WJzH?si=SX4ajSKXT-KeNtaHsiTNzw 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 - Mercury has already saved me a bunch of time this tax season. Last year, I used Mercury to request W-9s from all the contractors I worked with. Then, when it came time to issue 1099s this year, I literally just clicked a button and Mercury sent them out. Learn more at https://mercury.com - Labelbox noticed that even when voice models appear to take interruptions in stride, their performance degrades. To figure out why, they built a new evaluation pipeline called EchoChain. EchoChain diagnoses voice models’ specific failure modes, letting you understand what your model needs to truly handle interruptions. Check it out at https://labelbox.com/dwarkesh - Jane Street is basically a research lab with a trading desk attached – and their infrastructure backs this up. They’ve got tens of thousands of GPUs, hundreds of thousands of CPU cores, and exabytes of storage. This is what it takes to find subtle signals hidden deep within noisy market data. If this sounds interesting, you can explore open positions at https://janestreet.com/dwarkesh To sponsor a future episode, visit https://dwarkesh.com/advertise. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 – Why an H100 is worth more today than 3 years ago 00:24:52 – Nvidia secured TSMC allocation early; Google is getting squeezed 00:34:34 – ASML will be the #1 constraint for AI compute scaling by 2030 00:55:47 – Can't we just use TSMC's older fabs? 01:05:37 – When will China outscale the West in semis? 01:16:01 – The enormous incoming memory crunch 01:42:34 – Scaling power in the US will not be a problem 01:54:44 – Space GPUs aren't happening this decade 02:14:07 – Why aren't more hedge funds making the AGI trade? 02:18:30 – Will TSMC kick Apple out from N2? 02:24:16 – Robots and Taiwan risk

Segments Timeline

1
0:00 - 0:23
0:23 duration45 words

Introduction to Semiconductor Teachings

The episode begins with the host introducing their roommate's expertise in semiconductors.

"All right, this is the episode where my roommate teaches me semiconductors. It's also the send off for this current set. It is. After you use it, I'm like, "I can't use this again. I gotta get out of ..."

2
0:23 - 1:31
1:08 duration213 words

CapEx Projections by Big Tech

Discussion on the significant capex projected by Amazon, Meta, Google, and Microsoft and its implications on the semiconductor industry.

"Dylan is the CEO of SemiAnalysis. Dylan, here’s the burning question I have for you. If you add up the big four—Amazon, Meta, Google, Microsoft—their combined forecasted CapEx this year that you publi..."

3
1:31 - 3:02
1:31 duration208 words

The Complexity of Semiconductor Investment

Explores the complexities in the timing of CapEx expenditure and investments in the semiconductor supply chain.

"And second, what are the labs raising all this money for if the yearly price of a one-gigawatt data center is $13 billion? So when you talk about the CapEx of these hyperscalers being on the order of ..."

4
3:02 - 4:35
1:33 duration187 words

Growth Needs of AI Labs

Examines the compute needs of AI laboratories like Anthropic and OpenAI, projecting their growth and revenue expectations.

"So with roughly 20 gigawatts deployed this year, a big chunk is hyperscalers, and a chunk is not. For all of these companies, their biggest customers are Anthropic and OpenAI. Anthropic and OpenAI are..."

5
4:35 - 6:07
1:32 duration152 words

Challenges of Scaling Compute

Dives into the challenges Anthropic faces in acquiring sufficient compute resources to meet their ambitious growth projections.

"In a sense, Anthropic needs to get to well above five gigawatts by the end of this year. It's going to be really tough for them to get there, but it's possible. Can I ask a question about that? If Ant..."

6
6:07 - 7:42
1:35 duration125 words

The Compute Trade-offs

Explores how Anthropic's conservative approach to compute may force it to seek lower-quality providers to meet its needs.

"But in reality, he's screwed the pooch compared to OpenAI, whose approach was, "Let's just sign these crazy fucking deals." OpenAI has got way more access to compute than Anthropic by the end of the y..."

7
7:42 - 10:46
3:04 duration146 words

Anthropic's Strategic Dilemma

Discusses the potential consequences of Anthropic's cautious approach in the competitive landscape of AI compute procurement.

"They've gone to random companies, or companies one would think are random, like SoftBank Energy, who has never built a data center in their life but is building data centers now for OpenAI. They've go..."

8
10:46 - 12:17
1:31 duration103 words

Market Dynamics of Compute Procurement

Analyzes how the changing dynamics in supply and demand are reshaping the strategies employed by AI companies regarding compute contracts.

"Anthropic was a lot more conservative. They were like, "We'll sign contracts, but we'll be principled. We'll purposely undershoot what we think we can possibly do and be conservative because we don't ..."

9
12:17 - 13:49
1:32 duration65 words

Future of GPU Depreciation

Discussion around the implications of GPU depreciation cycles and their impact on the economics of AI computing.

"Who built the spare capacity such that it's available for Anthropic and OpenAI to get last minute? What is the concrete advantage that OpenAI has gotten if they end up at similar compute numbers by 20..."

10
13:49 - 19:59
6:10 duration92 words

Insights on GPU Costs and Economics

Examines how variations in contracts and market demand affect the pricing and economic value of GPUs in AI compute.

"To acquire excess compute, yes, there is capacity at hyperscalers. Not all contracts for compute are long-term, five-year deals. There's compute from 2023 or 2024, or H100s from 2025, that were signed..."

11
19:59 - 21:34
1:35 duration121 words

Contract Strategies and Market Power

Dives into how contract duration and pricing strategies can grant companies advantages in the competitive AI compute space.

"I’ve seen deals where certain AI labs—I'm being a little bit vague here for a reason—have signed at as high as $2.40 for two to three years for H100s. If you think about the margin, it costs $1.40 to ..."

12
21:34 - 24:38
3:04 duration123 words

Impact of AI Scalability on Pricing

Explores how the scalability of AI influences pricing dynamics for compute resources in the tech industry.

"So if I want Hopper, there is some capacity out there. Also, while most of the capacity at an Oracle or a CoreWeave is signed for a long-term deal in terms of Blackwell, anything that's going online t..."

13
24:38 - 27:42
3:04 duration93 words

Long-Term Forecasting in AI Developments

Looks at the future AI landscape and how impending technological developments will impact compute capabilities and economic models.

"Or in the case of Anthropic, they don't have to have all the compute directly. Amazon can have the compute and serve Bedrock, or Google can have the compute and serve Vertex, or Microsoft can have the..."

14
27:42 - 30:44
3:02 duration67 words

Understanding Market Volatility

Discusses the effects of market fluctuations on demand and supply dynamics, particularly in AI compute markets.

"Right, there's a trade-off there. But at the same time, for a solid four months, everyone was saying to OpenAI, "We're not going to sign deals with you." That sounds crazy, but it was because, "you do..."

15
30:44 - 32:18
1:34 duration69 words

Strategic Models and Market Adaptability

Addresses adaptability in pricing and compute resource management amidst evolving market conditions.

"There are not that many incremental buyers of compute yet, because Anthropic hit the capability tier first where their revenue is mooning. That’s interesting. Otherwise you might think having the best..."

16
32:18 - 35:25
3:07 duration88 words

GPU Value and Future Projections

Explores the implications of GPU value fluctuation and expectations for upcoming advancements in computing power.

"Maybe this is an obvious point. But at least until recently, people had made this huge point about the depreciation cycle of a GPU. The bears, the Michael Burrys or whoever, have said, "Look, people a..."

17
35:25 - 38:32
3:07 duration69 words

The Evolution of AI Chip Production

Analyzes the evolving constraints and expectations on AI chip production and their overall impact on the tech landscape.

"But in fact you’re pointing out that maybe the depreciation cycle is even longer than five years. If we're using Hoppers—especially if AI really takes off and in 2030, we’re saying, "We have to get th..."

18
38:32 - 39:14
0:42 duration70 words

Long-Term Forecast for AI Compute

Looks at the long-term projections for AI compute capabilities and the potential market shifts that may arise.

"I think Anthropic will be able to get to five gigawatts-ish, maybe a little bit more by the end of the year through themselves as well as their product being served through Bedrock, Vertex, or Foundry..."

19
39:14 - 41:38
2:24 duration81 words

Understanding the Manufacturing Supply Chain

Explores the complexities of the semiconductor manufacturing supply chain and its effects on the technology sector.

"But in the chip supply chain, there's a number of different bottlenecks. There's memory, logic wafers from TSMC, and the fabs themselves. Construction of the fabs takes two to three years, versus a da..."

20
41:38 - 44:44
3:06 duration78 words

The Semiconductor Capacity Challenge

Dives into the challenges surrounding semiconductor capacity and its pivotal role in AI advancements.

"The bottlenecks, as we've scaled, have shifted based on what the supply chain is currently not able to do. It was CoWoS, power, and data centers, but those were all shorter lead time items. CoWoS is a..."

21
44:44 - 46:17
1:33 duration342 words

Understanding EUV Technology

An exploration of the enhancements in Extreme Ultraviolet (EUV) technology and the importance of overlay accuracy.

"There's a spec called overlay, which is: you did all this work, you drew these lines on the wafer, now I want to draw these dots. Let's say I want to draw these dots to connect these lines of metal to..."

22
46:17 - 47:50
1:33 duration306 words

ASML's Production Capacity Challenges

A discussion on the production capacity of ASML and the semiconductor supply chain's limitations.

"You say we're producing 60 of these machines this year and then 70, 80 over subsequent years. What would happen if ASML just decided to double its CapEx or triple its CapEx? What is preventing them fr..."

23
47:50 - 49:22
1:32 duration206 words

The Complexity of EUV Source Production

An insight into the complexities and challenges behind the EUV source production process.

"Let's talk about the source specifically. What does the source do? It drops these tin droplets. It hits it three subsequent times with a laser perfectly. The first one hits this tin droplet, it expand..."

24
49:22 - 50:56
1:34 duration236 words

Challenges in Scaling Production

A look into the challenges faced in scaling the production of essential components in EUV lithography.

"When we think about a lens, it's in a shape, and it focuses the light. This is like a mirror that's also a lens, so it's pretty complicated. Any defect in these super thinly deposited stacks will mess..."

25
50:56 - 52:28
1:32 duration166 words

Precision Required in High-Tech Manufacturing

An overview of the precision engineering required for EUV tool manufacturing.

"Each of these things is a wonder and marvel of chemistry, fabrication, mechanical engineering, and optical engineering, because you have to align all these things and make sure they're perfect. All of..."

26
52:28 - 54:01
1:33 duration219 words

Demand Forecasting and Supply Chain Constraints

Exploring the complexities of supply chain management in relation to semiconductor manufacturing.

"If you just think about it, you're talking about two physically moving objects that are the size of a wafer, and it has to be accurate to the level of single-digit nanometers or even smaller because t..."

27
54:01 - 56:03
2:02 duration196 words

AI Impact on Semiconductor Production

Discussing the influence of AI on semiconductor demand and production capabilities.

"Nvidia's had to do a lot to get the entire supply chain to even deliver the capacity they're going to make this year. When you go talk to Anthropic, they're like, 'We're short of TPUs, we're short of ..."

28
56:03 - 1:00:41
4:38 duration69 words

EUV Tools and Supply Chain Dynamics

Detailed discussion on EUV tools, their complexity, and global supply chain dynamics.

"What does Elon want? He wants 100 gigawatts a year in space by 2028 or 2029. Sam Altman wants 52 gigawatts a year by the end of the decade. Anthropic probably needs the same, and Google needs that. Yo..."

29
1:00:41 - 1:03:43
3:02 duration172 words

Market Trends and Future Projections

A forward-looking analysis of market trends related to memory and compute demands.

"The movement of data between racks is on the order of hundreds of gigabits a second, 400 gig or 800 gig a second, so roughly 100 gigabytes a second. So you have this huge ladder: on-chip communication..."

30
1:03:43 - 1:05:18
1:35 duration106 words

The Shift from EUV to Alternative Technologies

Debating the potential shift back to older manufacturing technologies due to current bottlenecks.

"Can I ask you a very naive question? The B200 now has two dies on a single chip, so you can get that bandwidth without having to go through NVLink or InfiniBand. Next year, Rubin Ultra will have four ..."

31
1:05:18 - 1:06:52
1:34 duration133 words

Challenges of Large Scale Chip Design

The intricate balance between chip design, performance, and technology limitations.

"The way Nvidia is doing it is CoWoS. Google, Broadcom, MediaTek, and Amazon's Trainium are all doing CoWoS. But actually you can go look back at what Tesla did with Dojo, which they cancelled and rest..."

32
1:06:52 - 1:08:26
1:34 duration142 words

Future Dynamics of Semiconductor Manufacturing

Exploring the future challenges and capabilities of semiconductor manufacturing, particularly in China.

"By 2030, it's possible that they do. But to date, all of China's 7 nm and 14 nm capacity uses ASML DUV tools. The amount that they can import from ASML is large. But the vast majority of ASML's revenu..."

33
1:08:26 - 1:10:03
1:37 duration142 words

Challenges in Chinese Semiconductor Production

An exploration of the challenges facing China's quest for a fully indigenized semiconductor supply chain.

"They will really scale up production and kick it into high gear. They have more engineers working on it and more desire to throw capital at the problem. So by 2030, will they have fully indigenized DU..."

34
1:10:03 - 1:11:38
1:35 duration124 words

Future Projections for Memory Production

Assessing the future capabilities and production potential for memory technologies in the semiconductor landscape.

"It's a great question. It's a bit of a challenge to look into this supply chain especially. We try really hard. In some instances, they're buying stuff from Japanese vendors. If they want a fully indi..."

35
1:11:38 - 1:13:12
1:34 duration156 words

The CAPEX Challenge in Semiconductor Growth

Examining the capital expenditure challenges in scaling semiconductor manufacturing.

"Elon says he wants to do it and China is obviously going to do it. TSMC is trying to do that. The memory makers may get to a million wafers a month as well, but not in a single fab. It's mind-boggling..."

36
1:13:12 - 1:14:47
1:35 duration107 words

The Impact of AGI on Semiconductor Dynamics

A discussion on how advancements in AGI could shift the competitive landscape in the semiconductor industry.

"If you have this transformational thing that is commanding tens or hundreds of trillions of dollars of economic growth and token output, but it happens in 2035? What does that imply for the West versu..."

37
1:14:47 - 1:17:50
3:03 duration76 words

Growth Rates and Economic Dynamics

Exploring the growth of AI and its implications for the semiconductor market and economic dynamics.

"As you go out to 2035, things are just so radically different. Your error bars get so large it's hard to make an estimate. But at the end of the day, if takeoff or timelines are slow enough, I don't s..."

38
1:17:50 - 1:19:21
1:31 duration78 words

Performance and Design Constraints in Chip Manufacturing

Examining the factors that contribute to performance differences in chip designs and fabrications.

"At some point, when you can't distill the learnings from these labs into the Chinese models, plus with this compute race that OpenAI, Anthropic, Google, and Meta are all racing on, they end up getting..."

39
1:19:21 - 1:24:00
4:39 duration83 words

The Value of CapEx in AI Growth

Analyzing the return on investment for capital expenditures in data centers and AI innovation.

"There's nearly a trillion dollars of CapEx being invested in data centers in America this year, roughly. What's the return on invested capital here? You and I would think the return on invested capita..."

40
1:24:00 - 1:30:00
6:00 duration116 words

Consumer Impact of Memory Prices

Investigating the implications of rising memory prices on consumer electronics and market dynamics.

"The memory crunch will continue to get harder, and prices will continue to go up. This affects different parts of the market differently. Are people going to hate AI more and more? Yes, because smartp..."

41
1:30:00 - 1:31:43
1:43 duration210 words

Memories and Fabs

The segment discusses the timelines and challenges involved in building fabs for semiconductor manufacturing and the current strategies being employed by major players to expand capacity.

"It took another three to six months for the memory vendors to start building fabs. Those fabs take two years to build. So we won't have really meaningful fabs to even put these tools in until late 202..."

42
1:31:43 - 1:33:17
1:34 duration123 words

Elon's Clean Room Strategy

A discussion of Elon Musk's approach to building clean rooms for semiconductor fabs and its implications on production timelines.

"I interviewed Elon recently, and his whole plan is that they're going to build this TeraFab and they're going to build the clean rooms. I won't even ask you about the dirty rooms thing, but let's say ..."

43
1:33:17 - 1:34:47
1:30 duration119 words

Complex Supply Chains

Understanding the shifting constraints in semiconductor supply chains and how Elon Musk's capability could influence outcomes.

"Two, does that even matter if, in two years, your view is that we're not bottlenecked on clean room space, but on the tooling? As with any complex supply chain, it takes time, and constraints shift ov..."

44
1:34:47 - 1:36:22
1:35 duration104 words

Recruiting Talents

Exploring how Elon Musk attracts top talent by presenting ambitious challenges and the complexities of semiconductor manufacturing.

"The thing about Elon is he has a tremendous capability to garner physical resources and really smart people to build things. The way he recruits amazing people is by trying to build the craziest stuff..."

45
1:36:22 - 1:36:22
0:00 duration83 words

The Future of 3D DRAM

Discussion on the potential future of 3D DRAM development and its implications for the market and manufacturing costs.

"How surprised would you be if in 2030 there just happened to be some total disruption where we're not using EUV? What if we're using something that has much better effects, is much simpler to produce,..."

46
1:36:22 - 1:37:54
1:32 duration90 words

Potential Disruptions in Lithography

Examining the likelihood of new technologies disrupting existing lithography methods and the factors behind their feasibility.

"Something that's very simple and easy to scale, I assign a very, very low probability. There are a number of companies working on effectively particle accelerators or synchrotrons that generate light ..."

47
1:37:54 - 1:39:26
1:32 duration57 words

The Future Cost of Memory Production

Discussing the future of memory production and the potential transition to 3D DRAM processes.

"Right now, everyone's roadmap goes from the current 6F cell, to a 4F cell, and then finally 3D DRAM by the end of the decade or early next decade. There's still a lot of R&D, manufacturing, and integr..."

48
1:39:26 - 1:40:59
1:33 duration68 words

EUV Demand Trends

Analysis of the trends in EUV demand and how technological advancements may impact cost and production capabilities.

"But as we've seen across time, lithography demand as a percentage of wafer cost has trended up. Around the 2014 era, it was 17% of the wafer cost, and it's gone to 30% over the last fifteen years. For..."

49
1:40:59 - 1:44:02
3:03 duration34 words

Future Power Production Capabilities

Exploring potential future energy generation scenarios and the implications for the IT sector.

"It's a funny dynamic we saw in 2023, 2024, and 2025. People who saw the energy bottleneck before others asymmetrically went to Siemens, Mitsubishi, and of course GE Vernova, and bought up turbine capa..."

50
1:44:02 - 1:45:32
1:30 duration43 words

Data Centers and Energy Capacity

Insights into how data centers are projected to scale their energy requirements in the coming years.

"Right now we're at 20 or 30. This is critical IT capacity, by the way, which is an important thing to mention. When I'm talking about these gigawatts, I'm talking about critical IT capacity. Server pl..."

51
1:45:32 - 1:51:43
6:11 duration89 words

Power Generation Innovations

Discussion on the diversity of power generation methods available and their potential future impact.

"The other thing is that the grid is scaled so we don't cut off power at peak usage on the hottest day of the summer. But in reality, that's a load spike that is 10-20% higher than the average. If you ..."

52
1:51:43 - 1:53:15
1:32 duration55 words

Addressing Labor Constraints

Analysis of labor constraints in the energy sector and implications for scaling capacity.

"Labor is a big constraint. It's a humongous constraint in this. People have to be trained. Likewise, we'll probably start importing the highest-skilled labor. It makes sense that a really high-skilled..."

53
1:53:15 - 1:56:18
3:03 duration56 words

Modular Data Center Solutions

Exploration of advancements in modular data center construction to meet energy demands efficiently.

"The main factor for reducing the number of people is going to be modularizing things and making them in factories in Asia. Unfortunately for America, places like Korea, Southeast Asia, and in many way..."

54
1:56:18 - 1:57:50
1:32 duration49 words

Geographical Advantages of Energy Generation

Discussion on the geographical and regulatory advantages for energy generation in the U.S.

"Permitting is a challenge, but America is a big place with 50 states, and things will get done. There are a lot of small jurisdictions where you can just transport in all the workers you need for a te..."

55
1:57:50 - 1:59:23
1:33 duration34 words

Space Data Centers: An Economic Perspective

Investigating the feasibility and economic implications of establishing data centers in space.

"Other than the economic argument making less sense once you consider that energy is a small fraction of the total cost of ownership of a data center, what are the other reasons you're skeptical?"

56
1:59:23 - 2:01:01
1:38 duration29 words

Challenges of Space Data Centers

Examining the technical and logistical challenges associated with deploying data centers in space.

"Because we're so capacity-constrained, that compute is theoretically most valuable in the first six months you have it. We're more constrained now than we will be in the future."

57
2:01:01 - 2:02:32
1:31 duration19 words

Expanding Compute Capabilities

Insights into how compute capabilities are scaling and what challenges remain.

"A lot of models fit within one scale-up domain, but many times you split them across multiple scale-up domains."

58
2:02:32 - 2:04:04
1:32 duration19 words

The Future of Chip Communication

Discussion on the future of chip-to-chip communication in terrestrial and space-based environments.

"Space data centers effectively are not limited by their energy advantage. They are limited by the same contended resource."

59
2:04:04 - 2:05:37
1:33 duration13 words

The Path Forward for Chips and Power

Concluding thoughts on balancing chip production and power generation capabilities as the tech landscape evolves.

"But Elon doesn't win by doing 20% gains. He never wins that way."

60
2:05:37 - 2:07:09
1:32 duration13 words

Innovations in Chip Density

Exploring innovations in chip density and cooling mechanisms necessary for future performance.

"If you can run a very hot chip, it allows a lot of—"

61
2:07:09 - 2:11:46
4:37 duration24 words

Comparative Chip Scaling Strategies

Examining different scaling strategies among major AI chip manufacturers.

"For Nvidia, previously this meant an H100 server had eight GPUs, and those eight GPUs could talk to each other at terabytes a second."

62
2:11:46 - 2:13:23
1:37 duration16 words

Research Versus Development in AI

An analysis of resource allocation in AI research and development and its impact on model scaling.

"If you pre-train a five-trillion-parameter model, how many rollouts do you have to do in RL?"

63
2:13:23 - 2:14:57
1:34 duration31 words

Maximizing Research Resources

Strategies for optimizing compute resources in research versus development within AI labs.

"But at the end of the day, in isolation, you almost always want to go with a smaller model that gets RL'd faster and gets deployed into research and development earlier."

64
2:14:57 - 2:16:32
1:35 duration13 words

The SemiAnalysis Advantage

Discussing the unique insights gained from using SemiAnalysis spreadsheets for understanding market dynamics.

"I think there are a lot of people making money in many ways."

65
2:16:32 - 2:19:40
3:08 duration173 words

Understanding AI Infrastructure Revenue

The segment discusses the influences of hedge funds on AI infrastructure and the strategic insights from data interpretation.

"is industry. So AI labs, data center companies, hyperscalers, semiconductor companies, the whole supply chain across AI infrastructure. But 40% of our revenue is hedge funds. I'm not going to comment ..."

66
2:19:40 - 2:21:15
1:35 duration154 words

The Future of Apple and TSMC

A discussion on the competitive landscape between Apple and TSMC, especially concerning AI chips and manufacturing.

"They're not going to kick Apple out entirely. What they're going to do is when Apple orders X, they might say, "Hey, we project you only need X minus one, and so that's what we're going to give you, X..."

67
2:21:15 - 2:22:48
1:33 duration91 words

AMD's AI Chips and Market Strategy

Discussion on AMD's approach to AI and the challenges it faces in competing against market leaders.

"What's also interesting is traditionally, Apple has been the first to a process node. 2 nm is actually the first time they're not. Well, that’s besides Huawei. Huawei, back in 2020 and before, was the..."

68
2:22:48 - 2:25:53
3:05 duration96 words

The Role of Huawei in AI Chips

Exploring Huawei's potential in the AI chip market and its competitive advantages over other companies.

"Potentially, yeah. Huawei was the first with a 7 nm AI chip as well. They were the first with a 5 nm mobile chip, but they were the first with a 7 nm AI chip. The Huawei Ascend was two months before t..."

69
2:25:53 - 2:27:23
1:30 duration101 words

Implications of Centralized Intelligence

A deep dive into the implications of centralized intelligence for future robotic systems and their architecture.

"There are a lot of difficulties with the VLMs and VLAs that people are deploying on robots. But to some extent, you don't need to have all the intelligence in the robot. It would be much more efficien..."

70
2:27:23 - 2:29:00
1:37 duration54 words

The Future of Robotics and AI

Discussing the potential for humanoid robots in everyday life and their implications for centralized AI computation.

"That's an interesting fact about the future that I think people might not appreciate. I think Elon recognizes this, which is why he's going to different places for his chips. He signed this massive de..."

71
2:29:00 - 2:29:45
0:45 duration100 words

Assessing Taiwan's Semiconductor Supply Chain

Analyzing the significance of Taiwan in the semiconductor supply chain and the potential impacts of disruption.

"If we believe that tools are the ultimate bottleneck, how much of Taiwan's place in the AI semiconductor supply chain could we de-risk simply by having a plan to airlift every single process engineer ..."