Podcast On the Business of Semiconductors, The Circuit

The Circuit

Podcast On the Business of Semiconductors

A Podcast On the Business of Semiconductors. With Jay Goldberg and Ben Bajarin

Thematic (Sector/Industry)

<ul><li>Nvidia surpassed expectations in China despite challenges, indicating growth in other areas of their business</li><li>Shift from training to inference era highlighted, with focus on customers buying Nvidia systems for inference</li><li>Competition in the inference market could pose challenges for Nvidia, especially as costs grow and alternatives emerge like Google's tpu</li></ul>This content is sourced through publicly available sources and has been machine generated. Information displayed is for general informational purposes only.

Nvidia surpassed expectations in China despite challenges, indicating growth in other areas of their businessShift from training to inference era highlighted, with focus on customers buying Nvidia systems for inferenceCompetition in the inference market could pose challenges for Nvidia, especially as costs grow and alternatives emerge like Google's tpuThis content is sourced through publicly available sources and has been machine generated. Information displayed is for general informational purposes only.

Episode 120: NVIDIA Earnings, The Future of AI inference, China AI and more

Semiconductor & Technology Specialist, Ingenuity

William Keating

Semiconductor & Technology Specialist

Ingenuity

Our focus is exclusively on in-depth research & consulting in the broader semiconductor industry. We focus on the key players, namely Intel, Micron, Qualcomm, Apple, Samsung, NVIDIA, AMD, TSMC & Global Foundries - as well as some of the lesser known, but nonetheless critical, companies such as ASML (for EUV), Mellanox, Cavium, Xilinx etc. We specialise in their products, roadmaps, process technologies, competitive advantages & threats etc. We also help our clients understand the implications of new and emerging technologies, e.g. 3D X-Point, 3D NAND, Carbon Nanotubes, Autonomous Driving, Graphene, Silicon Photonics, Wafer-Level Optics, Artificial Intelligence, FPGA, GPU, ASIC etc. 

Semiconductor Analysis & Research

Equity Bottom-Up

<ul>
<li>President Donald Trump announced the Stargate Project, a new company which intends to invest $500 billion over four years building new AI infrastructure for OpenAI in the United States.</li>
<li>Elon Musk is miffed, Microsoft says they "approved" the project and have a new Right of First Refusal agreement in place with OpenAI. </li>
<li>Stargate is exclusively for OpenAI and the press release states that its mission is to provide a strategic capability to protect the national security of America and its allies.</li>
</ul>


President Donald Trump announced the Stargate Project, a new company which intends to invest $500 billion over four years building new AI infrastructure for OpenAI in the United States.
Elon Musk is miffed, Microsoft says they "approved" the project and have a new Right of First Refusal agreement in place with OpenAI. 
Stargate is exclusively for OpenAI and the press release states that its mission is to provide a strategic capability to protect the national security of America and its allies.


Stargate. It's Not All About You Microsoft. Or You Either Elon

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.

<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.


<ul><li>OpenAI was founded in 2015 by investors, including Elon Musk, Reid Hoffman, Peter Thiel, AWS, and YC Research.</li><li>The goal was to pursue Artificial General Intelligence (AGI) safely for the benefit of humanity.</li><li>There was an initial pledge of $1 billion, but the money that came in was $100 million from Elon Musk and $30 million from Open Philanthropy.</li></ul>

OpenAI was founded in 2015 by investors, including Elon Musk, Reid Hoffman, Peter Thiel, AWS, and YC Research.The goal was to pursue Artificial General Intelligence (AGI) safely for the benefit of humanity.There was an initial pledge of $1 billion, but the money that came in was $100 million from Elon Musk and $30 million from Open Philanthropy.

<ul><li>The new transformer model requires significant amount of inference and multilevel reasoning</li><li>The demand for inference compute is skyrocketing, surpassing current silicon architecture capabilities</li><li>OpenAI's new model showcases the future potential of AI, but also highlights the gap in semiconductor architectures and computing infrastructure</li></ul>This content is sourced through publicly available sources and has been machine generated. Information displayed is for general informational purposes only.

The new transformer model requires significant amount of inference and multilevel reasoningThe demand for inference compute is skyrocketing, surpassing current silicon architecture capabilitiesOpenAI's new model showcases the future potential of AI, but also highlights the gap in semiconductor architectures and computing infrastructureThis content is sourced through publicly available sources and has been machine generated. Information displayed is for general informational purposes only.

Episode 85: OpenAI leaves AI Silicon in the Dust

United States

OpenAI, L.P. operates as a software company. The Company specializes in AI research and deployment that aims to ensure that artificial general intelligence benefits all of humanity. OpenAI serves customers worldwide.

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OpenAI (2193707D US)

Episode 120: NVIDIA Earnings, The Future of AI inference, China AI and more

Overall, Nvidia is experiencing strong performance in the AI market, particularly in the area of inference, but faces competition and challenges in...

The Circuit

Stargate. It's Not All About You Microsoft. Or You Either Elon

Stargate is effectively positioning Open AI as a strategic capability to protect the national security of America and its allies.Yikes, how did...

William Keating

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

OpenAI Boardroom Battle: Safety First

When Move Fast and Break Things Fail. The AI Safety Schism within OpenAI. OpenAI was founded in 2015 by investors, including Elon Musk, Reid...

Fabricated Knowledge

Episode 85: OpenAI leaves AI Silicon in the Dust

The Transformer model is emerging as a groundbreaking advancement in AI that demands a significant amount of inference and computational power,...

The Circuit

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