Equity Long-Short, Semiconductors, Fabricated Knowledge

Douglas O'Laughlin

Equity Long-Short, Semiconductors

Fabricated Knowledge

Learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.

Equity Bottom-Up

<ul>
<li>Nvidia CEO Jensen Huang has repeatedly emphasized that the data center is the new unit of compute.</li>
<li>While this concept seemed straightforward at first, the deeper implications became clearer after Nvidia's presentations at GTC and OFC 2024.</li>
<li>I only recently grasped exactly what is happening, and a simple reframing of the underlying principles that drove Moore’s Law makes the entire picture clearer.</li>
</ul>


Nvidia CEO Jensen Huang has repeatedly emphasized that the data center is the new unit of compute.
While this concept seemed straightforward at first, the deeper implications became clearer after Nvidia's presentations at GTC and OFC 2024.
I only recently grasped exactly what is happening, and a simple reframing of the underlying principles that drove Moore’s Law makes the entire picture clearer.


The Data Center is the New Compute Unit: Nvidia's Vision for System-Level Scaling

<ul>
<li>"It is so much cheaper to do simulations than real experiments, so much more flexible in testing...we can even do things which cannot be done in any lab… So it’s inevitable this trend will continue for some time." - Richard Hamming, <a href="https://www.amazon.com/Art-Doing-Science-Engineering-Learning/dp/1732265178" target="_blank" rel="noopener">The Art of Doing Science and Engineering</a>.</li>
<li>Richard Hamming said this to the President of Bell Labs in the 1950s. And I think this insight rings more accurate than ever. Simulations of reality are much more flexible and cheaper than observing and interacting with reality.</li>
<li>I will assert that LLMs and “AI” are effectively the logical conclusion of this trend. A large language model is trained on the largest amount of data possible, often the entire crawlable Internet<a href="https://kili-technology.com/large-language-models-llms/9-open-sourced-datasets-for-training-large-language-models" target="_blank" rel="noopener">, all the books ever written, and so much more</a>.</li>
</ul>


"It is so much cheaper to do simulations than real experiments, so much more flexible in testing...we can even do things which cannot be done in any lab… So it’s inevitable this trend will continue for some time." - Richard Hamming, The Art of Doing Science and Engineering.
Richard Hamming said this to the President of Bell Labs in the 1950s. And I think this insight rings more accurate than ever. Simulations of reality are much more flexible and cheaper than observing and interacting with reality.
I will assert that LLMs and “AI” are effectively the logical conclusion of this trend. A large language model is trained on the largest amount of data possible, often the entire crawlable Internet, all the books ever written, and so much more.


Asia and Global Semiconductor and Tech Research

Andrew Lu

<ul>
<li>Post 35% price gain in a quarter, many good news we expected and other analysts expected already factored into the share price. We believe the risk/reward not attractive here.</li>
<li>TSMC guides stronger 1Q24 and 2024, helped by Nvidia and copy cat AI GPU/ASIC orders. We see greater opportunities for alternative copy cat solutions like AMD and Alchip.</li>
<li>We attribute Nvidia customers' sales discrepancy to AI server is cannibalizing non-AI server and Nvidia is allocating more GPUs to premium price paying customers in 1H24 and reverse in 2H24.</li>
</ul>


Post 35% price gain in a quarter, many good news we expected and other analysts expected already factored into the share price. We believe the risk/reward not attractive here.
TSMC guides stronger 1Q24 and 2024, helped by Nvidia and copy cat AI GPU/ASIC orders. We see greater opportunities for alternative copy cat solutions like AMD and Alchip.
We attribute Nvidia customers' sales discrepancy to AI server is cannibalizing non-AI server and Nvidia is allocating more GPUs to premium price paying customers in 1H24 and reverse in 2H24.


From Nvidia Results to See Supply Chain Stories?

<ul><li>Google, Microsoft, and Facebook reported earnings.</li><li>Let’s discuss their capex plans and what that means for our new data center champion, Nvidia.</li><li>I think it’s pretty straightforward that Nvidia has revenue beats for the foreseeable future.</li></ul>

Google, Microsoft, and Facebook reported earnings.Let’s discuss their capex plans and what that means for our new data center champion, Nvidia.I think it’s pretty straightforward that Nvidia has revenue beats for the foreseeable future.

Google, Microsoft, Facebook and Nvidia: AI Spending Implications at the Hyperscalers

Managing Director, Zero One, Zero One

Vincent Fernando, CFA

Managing Director, Zero One

<ul>
<li>Nvidia's results and guidance sparked a massive rally in the shares, marking one of the largest single-day increases in market cap in U.S. stock market history.</li>
<li>The company sees a multi-year growth cycle of data center upgrades ahead. Key supply chain partners TSMC and ASML are rising as well.</li>
<li>Wiwynn in Taiwan should be a key winner. We also highlight a potential wildcard smallcap AI play that we will investigate further.</li>
</ul>


Nvidia's results and guidance sparked a massive rally in the shares, marking one of the largest single-day increases in market cap in U.S. stock market history.
The company sees a multi-year growth cycle of data center upgrades ahead. Key supply chain partners TSMC and ASML are rising as well.
Wiwynn in Taiwan should be a key winner. We also highlight a potential wildcard smallcap AI play that we will investigate further.


Nvidia Results Blow-Out: Multi-Year Growth Ahead; Wiwynn in Taiwan, Plus a Smallcap Wildcard AI Play

United States

NVIDIA Corporation designs, develops, and markets three dimensional (3D) graphics processors and related software.  The Company's products provide interactive 3D graphics to the mainstream personal computer market.

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NVIDIA Corp (NVDA US)

The Data Center is the New Compute Unit: Nvidia's Vision for System-Level Scaling

Copper, Cooling, and Compute Density: The Pillars of Nvidia's Data Center Vision. Nvidia CEO Jensen Huang has repeatedly emphasized that the data...

Fabricated Knowledge

Jensen's World: Compressing Reality

Nvidia is pursuing a strategy of broadening its software distribution on one of the largest installed bases in the world.

Fabricated Knowledge

From Nvidia Results to See Supply Chain Stories?

From Nvidia Results to See Supply Chain Stories? Post 35% price gain in a quarter, many good news already factored into the share price. We...

Andrew Lu

Google, Microsoft, Facebook and Nvidia: AI Spending Implications at the Hyperscalers

Google, Microsoft, and Facebook reported earnings. Let’s discuss their capex plans and what that means for our new data center champion, Nvidia. I...

Fabricated Knowledge

Nvidia Results Blow-Out: Multi-Year Growth Ahead; Wiwynn in Taiwan, Plus a Smallcap Wildcard AI Play

The company sees US$1 trillion of data center upgrades ahead. Our AI Leaders Basket constituents TSMC and ASML are rising as well.

Vincent Fernando, CFA

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