{"podcast":{"title":"Super Data Science: ML & AI Podcast with Jon Krohn","slug":"super-data-science","podcast_index_feed_id":220402,"rss_url":"https://feeds.megaphone.fm/SUPERDATASCIENCEPTYLTD9836501887","website_url":"https://www.superdatascience.com/podcast","image_url":"https://megaphone.imgix.net/podcasts/efa92454-1c31-11ef-9e30-03596b470c27/image/fa89a437c64da92a50cbd840aa42abfd.jpeg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"Jon Krohn","episode_count":1012,"summary":"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.","last_synced_at":"2026-07-22T00:21:00.507750+00:00","page_url":"https://stenobird.com/podcast/super-data-science"},"episode":{"title":"992: Tokenmaxxing vs AI Hardware Bottlenecks","slug":"992-tokenmaxxing-vs-ai-hardware-bottlenecks","published_at":"2026-05-15T11:00:00+00:00","page_url":"https://stenobird.com/podcast/super-data-science/992-tokenmaxxing-vs-ai-hardware-bottlenecks","show_page_url":"https://stenobird.com/podcast/super-data-science","url":"https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2200836202.mp3","audio_url":"https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2200836202.mp3","summary":"While “tokenmaxxing”, the social media trend of maximizing AI token consumption as a vanity metric, takes off online, the physical infrastructure behind AI is slamming into serious bottlenecks. In this Five-Minute Friday, Jon Krohn maps out the four overlapping supply-chain constraints choking AI compute: GPUs (with NVIDIA Blackwell sold out through mid-2026), high-bandwidth memory (quintupled demand since 2023, only three manufacturers worldwide), CPUs (agentic AI requires 12x more CPUs per GPU than chatbots), and electricity (Gartner projects power shortages will restrict 40% of AI data centres by 2027). Find out why the five biggest hyperscalers are on track to spend $725 billion on AI infrastructure in 2026, where the reasons for optimism lie, and why Jon says you should definitely not tokenmaxx. Additional materials:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/992⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.","meta_description":"While “tokenmaxxing”, the social media trend of maximizing AI token consumption as a vanity metric, takes off online, the physical infrastructure behind A…","key_points":[],"chapters":[],"topics":[],"duration_seconds":872,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/super-data-science/episodes/992-tokenmaxxing-vs-ai-hardware-bottlenecks/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/super-data-science/992-tokenmaxxing-vs-ai-hardware-bottlenecks.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}