{"generated_at": "2026-07-14T03:18:31.263176Z", "slug": "nvidia_ai_podcast", "source_id": "src_nvidia_ai_podcast", "name": "NVIDIA AI Podcast", "episode_count": 5, "avg_signal": 83.3, "median_signal": 84.0, "top_signal": 92.2, "latest_episode_at": "2026-06-24T15:45:00Z", "earliest_episode_at": "2026-05-13T13:00:00Z", "category_mode": "ai", "cover_image_url": "https://megaphone.imgix.net/podcasts/bcfa4532-6f5a-11f1-8bb5-c3355609e72d/image/3f7ba2d867f53a8c4abd2108cf22fe2a.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "rank_score": 119.174, "episodes": [{"episode_id": "ep_nvidia_ai_podcast_651214d25073", "episode_title": "Inside Instacart's AI-Powered Smart Shopping Cart | NVIDIA AI Podcast Ep. 302", "podcast_name": "NVIDIA AI Podcast", "podcast_slug": "nvidia_ai_podcast", "source_id": "src_nvidia_ai_podcast", "category": "ai", "publish_date": "2026-06-24T15:45:00Z", "overall_score": 88.2, "score_breakdown": {"clarity": 80.2, "originality": 56.0, "hype_penalty": 3.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/bcfa4532-6f5a-11f1-8bb5-c3355609e72d/image/3f7ba2d867f53a8c4abd2108cf22fe2a.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://ai-podcast.nvidia.com", "audio_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC6266348181.mp3", "listen_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC6266348181.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of store, right, it's, including: It will be one single unified mode, powered by this continuously learning AI system that incorporates what customers are doing in-store, online, states of the shelf, to build a ful.", "summary": "Our view is that in five to ten years, customers shouldn't have to think about shopping in-store or online. It will be one single unified mode, powered by this continuously learning AI system that incorporates what customers are doing in-store, online, states of the shelf, to build a fully personalized experience."}, {"episode_id": "ep_nvidia_ai_podcast_57e25d45e912", "episode_title": "How Mistral Is Building Frontier AI for the Enterprise | NVIDIA AI Podcast Ep. 301", "podcast_name": "NVIDIA AI Podcast", "podcast_slug": "nvidia_ai_podcast", "source_id": "src_nvidia_ai_podcast", "category": "ai", "publish_date": "2026-06-10T16:00:00Z", "overall_score": 92.2, "score_breakdown": {"clarity": 81.4, "originality": 59.4, "hype_penalty": 0.0, "actionability": 100.0, "technical_depth": 100.0, "information_density": 100.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/f037580a-6455-11f1-bb4d-5b5ed106d657/image/90ec16ddebe291962c5948d702a9e8c8.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://ai-podcast.nvidia.com", "audio_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC3974617522.mp3", "listen_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC3974617522.mp3", "verdict": "worth_your_time", "why_listen": "It goes beyond the title with direct discussion of models, really, it's, including: Welcome to the NVIDIA AI podcast.", "summary": "The benefit for everyone involved, really, is that we will have a new open source frontier model that everyone can build off on. And we're here to talk about Mistral's philosophy on open models, their collaboration with NVIDIA and the Nematron Coalition, and their new framework, Forge."}, {"episode_id": "ep_nvidia_ai_podcast_602979d4da6a", "episode_title": "Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300", "podcast_name": "NVIDIA AI Podcast", "podcast_slug": "nvidia_ai_podcast", "source_id": "src_nvidia_ai_podcast", "category": "ai", "publish_date": "2026-05-27T15:45:00Z", "overall_score": 68.4, "score_breakdown": {"clarity": 75.0, "originality": 85.0, "hype_penalty": 3.0, "actionability": 65.0, "technical_depth": 54.0, "information_density": 58.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/d5e0ea3c-5930-11f1-8aef-6fa48be07041/image/8a5e9e091e81bcdfeb1383a68af9f238.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://ai-podcast.nvidia.com", "audio_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC9592437490.mp3", "listen_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC9592437490.mp3", "verdict": "worth_your_time", "why_listen": "Learn how open source hardware and natural language-controlled robotics are lowering barriers to building and deploying physical AI systems.", "summary": "Seeed Studio is democratizing robotics through open source hardware, offering a $200 open-source robot arm (SOAR) that integrates with NVIDIA's Jetson and OpenClaw for accessible embodied AI development. The company enables rapid prototyping and manufacturing, supporting a community-driven model where users\u2014from students to startups\u2014can modify, extend, and deploy physical AI systems. Real-to-sim workflows and end-to-end learning reduce the need for traditional coding, allowing intuitive robot training via demonstration."}, {"episode_id": "ep_nvidia_ai_podcast_6304755d881b", "episode_title": "Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299", "podcast_name": "NVIDIA AI Podcast", "podcast_slug": "nvidia_ai_podcast", "source_id": "src_nvidia_ai_podcast", "category": "ai", "publish_date": "2026-05-21T16:00:00Z", "overall_score": 84.0, "score_breakdown": {"clarity": 90.0, "originality": 85.0, "hype_penalty": 2.0, "actionability": 85.0, "technical_depth": 78.0, "information_density": 72.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/1158b364-53ec-11f1-82f7-975ad2e37d6f/image/dd94cdf81ffe709a11457a4d46e0dd55.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://ai-podcast.nvidia.com", "audio_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC1708428495.mp3", "listen_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC1708428495.mp3", "verdict": "must_listen", "why_listen": "You\u2019ll learn how to align AI infrastructure decisions with business value by using cost per token as a north star metric and leveraging extreme co-design to scale efficiently.", "summary": "Token value is determined not just by model size but by the intelligence and interactivity of the output, with cost per token being a critical metric shaped by extreme co-design across hardware, software, and ecosystem. Agentic workloads increase token demand due to multi-turn, user-independent LLM calls, requiring ultra-low latency infrastructure. Business monetization strategies include direct token sales, AI-infused product enhancements, and value-added services, with pricing driven by production cost and customer willingness to pay."}, {"episode_id": "ep_nvidia_ai_podcast_40ba4027f448", "episode_title": "Snap\u2019s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298", "podcast_name": "NVIDIA AI Podcast", "podcast_slug": "nvidia_ai_podcast", "source_id": "src_nvidia_ai_podcast", "category": "ai", "publish_date": "2026-05-13T13:00:00Z", "overall_score": 83.8, "score_breakdown": {"clarity": 85.0, "originality": 94.0, "hype_penalty": 3.0, "actionability": 75.0, "technical_depth": 85.0, "information_density": 75.0}, "podcast_cover_url": "https://megaphone.imgix.net/podcasts/02d8a5d0-4e59-11f1-9037-e3af07f8ddc0/image/eacd84f9fe5549e01f19f072ae12e461.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress", "source_link": "https://ai-podcast.nvidia.com", "audio_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC2926487857.mp3", "listen_url": "https://cohst.app/pdcst/9V4R8T/traffic.megaphone.fm/NVC2926487857.mp3", "verdict": "must_listen", "why_listen": "Learn how Snap scaled GPU-accelerated data processing to handle 10+ petabytes daily by repurposing existing online serving infrastructure and achieving dramatic cost and performance gains.", "summary": "Snap processes over 10 petabytes of data daily for experimentation, leveraging GPU-accelerated Apache Spark via Spark Rapids on NVIDIA GPUs to achieve 3.6x performance gains and reduce job costs by 76%. By creatively borrowing idle online serving GPUs and migrating workloads to Kubernetes, Snap flattened its data scale curve while maintaining reliability and SLAs."}], "category_breakdown": [{"category": "ai", "count": 5}]}