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"AI Chip World Challengers and the Future of Data Centers: Insights from NVIDIA CEO Jensen Huang"

Summary: Lauren Goode of Wired Magazine interviewed NVIDIA CEO Jensen Huang in February 2024. 

Huang discussed the major players in the AI chip industry, including Google, Amazon, Meta, 

Microsoft Maia, AMD, TPU Team, AWS Trainium, and AWS Ferentia. He described a new type of data center as an 

"AI factory," a concept several years in the making that acts as a unique power generator. 

Elon Musk and other industrial leaders are also exploring the idea of creating AI factories. 

 

Huang highlighted that NVIDIA's progress has surpassed the traditional Moore's Law, which suggests a doubling 

of computing power every couple of years. Over the past decade, AI has advanced by about a million times, 

far exceeding Moore's Law. Huang noted that Moore's Law is now a systems problem, requiring advanced 

interconnectivity of multiple chips. This shift has led to the recognition that Moore's Law must end at the 

data center scale, allowing for new ways of scaling computing power. 

 

NVIDIA's latest innovation, the Blackwell generation of GPUs, promises incredible advancements. Additionally, 

the Retrieval Augmented Generation (RAG) framework marks the beginning of a generative computing revolution, 

enabling large language models to pull data from outside their usual parameters.

Huang emphasized that NVIDIA's unique position allows everyone to partner with them to build AI supercomputers at data-center scale and across the full stack.

 

Top names for artificial intelligence and machine learning (June 2024)

 

Open AI: The company behind the popular language model GPT-3, which has 

revolutionized natural language processing. 

 

DeepMind: A subsidiary of Alphabet (Google's parent company) that has made breakthroughs in machine learning, 

including the development of the AlphaGo program that beat the world's best Go players. 

 

NVIDIA: A leading manufacturer of GPUs, which are essential for the training and deploying 

machine learning models. 

 

Microsoft: A major player in AI and machine learning, with products like Azure Machine Learning 

and the Azure Cognitive Services suite. 

 

Amazon: Another tech giant with a strong presence in AI and machine learning, offering services like Amazon SageMaker and AWS Machine Learning. 

 


AI Chip Landscape (as of June 2024):

 

· While NVIDIA remains a dominant player, the AI chip race is heating up. Recent funding rounds for 

startups like Black Semiconductor, Celestial AI, and Recogni highlight the growing competition. 

Established companies like Intel, Meta, and Google have also unveiled their latest AI chips in recent months.

AI Factory Concept:

· Jensen Huang's vision of data centers as "AI factories" is still relevant. News outlets 

like https://www.bcg.com/publications/2024/the-race-for-advanced-ai-chips report a trend towards specialized hardware solutions for AI applications, supporting this concept.

Moore's Law and Beyond:

· The discussion about Moore's Law limitations and disaggregation for advanced chip interconnectivity 

remains crucial.

· NVIDIA's new generation of GPUs codenamed "Blackwell" was officially announced in March 2024 at 

their developer conference. It promises significant performance improvements for tasks like generative AI.

Generative AI Revolution:

· The Retrieval-Augmented Generation (RAG) framework offers exciting possibilities for large language models. For example, 

RAG could enable AI to generate different creative text formats based on factual prompts, like poems or 

scripts inspired by historical events.

Collaboration is Key:

· Huang's claim of exclusive access to building AI supercomputers is outdated. Companies like Meta and 

Google are pushing their own custom AI chips, developing a more collaborative environment.

Conclusion:

In February 2024, Jensen Huang emphasized NVIDIA's commitment to developing innovative AI hardware solutions 

like "Blackwell" and exploring the potential of generative AI through frameworks like RAG. While NVIDIA remains 

a major player, the landscape is evolving with new challengers and a growing emphasis on collaboration in the 

AI chip race.

World’s largest neuromorphic computer

World’s largest neuromorphic computer by Intel works like human brain© Provided by Interesting Engineering
"Intel has announced the launch of the world’s largest neuromorphic computer system, Hala Point. Initially deployed at Sandia National Laboratories in New Mexico, the computer mimics the human brain in processing information.
While unveiling Hala Point, Intel said this breakthrough could give a big boost to artificial intelligence (AI) research."
 
 
Link https://youtu.be/x3C6ro_q12c?si=7IxJmKdKzxfkqyU3

Comparison of Albert Eintein to Present-Day High IQ Scores

Comparing PAST & PRESENT High IQ Scores:

Link

The Immortality Drive & Eternity Code at the International Space Station (ISS)

The largest memory device, the Immortality Drive is on the ISS (International Space Station) and holds the fully digitized DNA of eight human beings. The Immortality Drive anticipated to have a friend in 2025, named the "Eternity Code", containing much the same things, and a cube of Einstein's brain. These are microchip time capsules for the supposed purpose of preserving human DNA.




Robots & Ethicists

Click Here - Link


The Fourth Industrial Revolution

Cyber-Physical Systems marked by emerging technology breakthroughs in a number of fields:

roboticsartificial intelligence,   nanotechnologyquantum computingbiotechnology, the Internet of Things (IOT), the Industrial Internet of Things (IIoT), decentralized consensus, fifth-generation wireless technologies (5G)additive manufacturing/3D printing and fully autonomous vehicles

Plus ~ Social-Cultural Engineering Shifts?  What are the Socioeconomic and Cultural Transformations in the Context of the Fourth Industrial Revolution? *Words *Speech *Thought *Behavior *Connections *Human-Relationships

Mind Boggling Links:  

Cryptocosm

Transhumanism

 

Philosophical

Generation Alpha?

What would be a better name for the newest generation, Gen Alpha – born from 2013 thru 2022 & onwards?

 

Click here for answers - Link