Model Context Protocol (MCP) is Anthropic’s hottest tool, with over 1,000 community-built MCP servers in operation by February alone. In this Five-Minute Friday, Jon Krohn explains what took so long for users to catch on: Anthropic released MCP in November 2024. Hear more about the buzz behind MCP, its applications, and how easy it is to get started.



Additional materials: ⁠www.superdatascience.com/884⁠ [https://www.superdatascience.com/884]



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

884: Model Context Protocol (MCP) and Why Everyone’s Talking About It

Returning after the “Super Bowl of AI”, NVIDIA GTC, Sama Bali and Logan Lawler talk to Jon Krohn about their respective work at tech giants NVIDIA and Dell. Sama and Logan discuss the next-gen Blackwell GPUs to their collaboration with Dell in launching Pro-Max PCs specially designed to take on heavy computational workloads as well as the incredible performance of GB 10 and GB 300 workstations, and the widening accessibility of AI developer tools and models. 



Additional materials: www.superdatascience.com/883 [https://www.superdatascience.com/podcast/883]



This episode is brought to you by ODSC, the Open Data Science Conference [https://odsc.com/boston/], by Adverity, the conversational analytics platform [https://eu1.hubs.ly/H0jxK210] and by the Dell AI Factory with NVIDIA [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN].



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:

 * (07:29) About Dell’s Pro Max PCs
 * (14:01) Why having a Blackwell GPU from Nvidia is a great option for those new to training and deploying AI models  
 * (36:47) When it makes sense for a data scientist to switch from a Unix to a Windows based system 
 * (46:33) Logan’s and Sama’s predictions for AI

883: Blackwell GPUs Are Now Available at Your Desk, with Sama Bali and Logan Lawler

This week’s five-minute Friday heads to the Netherlands to find out more about Dutch company ASML, the brains behind the lithography machines that build AI chips.  Jon Krohn walks through how ASML came to dominate the market, where they’re headed next, and how ASML’s complex machines shape AI chips as well as the very future of AI.  



Additional materials: www.superdatascience.com/882 [https://www.superdatascience.com/882]



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

882: 40x Hotter Than the Sun: The ASML Machines That Make AI Chips

Emily Webber speaks to Jon Krohn about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the compute of Trainium. Hear the specs of AWS’s chips and when to use them.



Additional materials: www.superdatascience.com/881 [https://www.superdatascience.com/881]



This episode is brought to you by ODSC [https://odsc.com/boston/], the Open Data Science Conference [https://odsc.com/boston/].



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:

 * (08:36) Emily’s work on AWS’ SageMaker and Trainium 
 * (23:54) How AWS Neuron lets builders tailor their approach to using frameworks 
 * (29:07) Why using an accelerator is better than using a GPU 
 * (35:29) The key differences between AWS Trainium and AWS Trainium2 
 * (52:45) How to select between AWS Trainium and AWS Trainium2

881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber

First developed in China, Manus AI and DeepSeek have made great waves on an international scale. Sought-after for their cost-effectiveness compared to US-made tech, Manus AI and DeepSeek are quickly becoming dominant technologies inside the country. In this five-minute Friday, Jon Krohn asks: Do these technologies warrant the huge amount of resources spent on them by multiple industries in China, and what makes hype become a mainstay?



Additional materials: www.superdatascience.com/880



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

880: Manus, DeepSeek and China’s AI Boom

Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve, an operating system for developing and delivering data and AI products, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs. You’ll also hear why LLMs might spell trouble for SaaS companies, Greg’s ‘good-cop, bad-cop’ routine that improves LLM responses, and how RAG (retrieval-augmented generation) can be deployed to create even more powerful AI applications.



Additional materials: www.superdatascience.com/879 [https://www.superdatascience.com/879]



This episode is brought to you by Trainium2, the latest AI chip from AWS [https://aws.amazon.com/ai/machine-learning/trainium/] and by the Dell AI Factory with NVIDIA [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN].



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:

 * (04:00) Zerve’s latest features
 * (35:26) How Zerve’s built-in API builder and GPU manager lowers barriers to entry
 * (40:54) How to get started with Zerve
 * (41:49) Will LLMs make SaaS companies redundant?
 * (52:29) How to create fairer and more transparent AI systems
 * (56:07) The future of software developer workflows

879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson

AI stacks, AGI, training neural networks, and AI authenticity: Jon Krohn rounds up his interviews from March with this episode of “In Case You Missed It”. In his favorite clips from the month, he speaks to Andriy Burkov (Episode 867), Natalie Monbiot (Episode 873), Richmond Alake (Episode 871) and Varun Godbole (Episode 869).



Additional materials: www.superdatascience.com/878



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

878: In Case You Missed It in March 2025

NPUs, AIPC, and Dell’s growing suite of AI products: Shirish Gupta speaks to Jon Krohn about neural processing units and what makes them a go-to tool for AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s lips, and he offers a special intro to Dell’s new Pro-AI Studio Toolkit. Hear about several real-world AIPC applications run by Dell’s clients, from detecting manufacturing defects to improving efficiencies for first responders, massively supporting actual life-or-death situations. 



Additional materials: www.superdatascience.com/877 [https://www.superdatascience.com/877]



This episode is brought to you by ODSC [https://odsc.com/boston/], the Open Data Science Conference [https://odsc.com/boston/].



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:

 * (03:28) What neural processing units (NPUs) are
 * (23:53) About Dell Pro AI Studio 
 * (35:03) Use cases for Dell Pro AI Studio
 * (45:16) How AI development workflows and applications will change 
 * (49:01) About Dell’s AI factory ecosystem

877: The Neural Processing Units Bringing AI to PCs, with Shirish Gupta

Small, simple, accessible: Hugging Face makes a huge contribution to the agentic AI wave with its smolagents. Jon Krohn explores how this small-but-mighty new Python library can act as the best personal assistant you never had. Hear about its features and use cases in this five-minute Friday.



Additional materials: www.superdatascience.com/876



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

876: Hugging Face’s smolagents: Agentic AI in Python Made Easy

Why are semiconductors so essential in this digital age, and how are they made? Jon Krohn speaks to electronics CEO Kai Beckmann about Merck KGaA, Darmstadt, Germany’s intricate manufacturing process, how we can use AI to develop materials that power next-gen AI technologies, and how a chip with the processing power of the human brain might one day be able to run on the power of a low-watt light bulb.



Additional materials: www.superdatascience.com/875 [https://www.superdatascience.com/875]



This episode is brought to you by the Dell AI Factory with NVIDIA [http://www.dell.com/superdatascience?utm_source=SuperDataScience&utm_medium=podcast&utm_campaign=DAIFWN].



Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.



In this episode you will learn:

 * (06:26) How Merck KGaA, Darmstadt, Germany supports groundbreaking developments in AI 
 * (13:42) Material science’s biggest challenges for AI 
 * (29:55) What heterogeneous integration is
 * (34:37) How optical tech influences the electronics industry 
 * (49:04) Navigating upturns and downturns in the semiconductor industry 
 * (53:08) How AI regulations benefit humanity

875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann

The Super Data Science podcast with Jon Krohn brings you the latest and most
important machine learning, artificial intelligence, and broader data-world
topics from across both academia and industry. As the quantity of data on our
planet doubles every couple of years and this trend is set to continue for
decades to come, there's an unprecedented opportunity for you to make an
enormous impact in your lifetime. Whether you're curious about getting started
in a data career or you're a deep technical expert, whether you'd like to
understand what A.I. is or you'd like to integrate more data-driven processes
into your business, we have inspiring guests and lighthearted conversation for
you to enjoy. We cover tools, techniques, and implementation tricks across data
collection, databases, analytics, predictive modeling, visualization, software
engineering, real-world applications, and commercialization − everything you
need to crush it with data science.

Jon Krohn

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