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Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
Super Data Science: ML & AI Podcast with Jon Krohn
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  • 883: Blackwell GPUs Are Now Available at Your Desk, with Sama Bali and Logan Lawler
    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 This episode is brought to you by ODSC, the Open Data Science Conference, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] 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
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  • 882: 40x Hotter Than the Sun: The ASML Machines That Make AI Chips
    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 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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  • 881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber
    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 This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] 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
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  • 880: Manus, DeepSeek and China’s AI Boom
    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 [email protected] for sponsorship information.
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  • 879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson
    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 This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] 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
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À propos de Super Data Science: ML & AI Podcast with Jon Krohn

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. 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, commercialization, and entrepreneurship − everything you need to crush it with data science.
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