RECENT EPISODES
Wed 24 JunInside Instacart's AI-Powered Smart Shopping Cart | NVIDIA AI Podcast Ep. 302Instacart's Caper cart, acquired for 350 million dollars and now deployed across 100 cities, combines an NVIDIA Jetson board, a certified basket scale, and multiple cameras in a sensor fusion system that runs inference at the edge to meet the hundreds-of-milliseconds response time consumers expect. Retailers using the cart are seeing double-digit sales lift, with a personalized did-you-forget feature alone driving nearly one percent absolute improvement.Wed 10 JunHow Mistral Is Building Frontier AI for the Enterprise | NVIDIA AI Podcast Ep. 301Mistral AI co-founder Tim Laquois joins the NVIDIA AI Podcast to discuss how the company, launched roughly two and a half years ago by three researchers from large technology firms, built its enterprise strategy around three pillars: efficient model training, purpose-built infrastructure, and fast delivery of high-quality models. A foundational decision to release models openly rather than keep them proprietary has defined Mistral's identity and allowed outside developers to build directly on frontier models the company produces.Wed 27 MayEveryone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300In episode 300 of the NVIDIA AI Podcast, Seeed Studio founder Eric Pan explains how open source hardware and software are making robotics accessible to hobbyists, students, and small businesses that previously lacked the resources to adopt the technology. Pan walks through Seeed's best-selling SO-ARM, a $200 robot arm built with Hugging Face, and the newer sub-$1,000 Raybot, which pairs with a Jetson Nano for local AI inference and mirrors movements in Isaac Sim.Thu 21 MayInside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299Shruti Kopakar introduces tokenomics as a four-pillar framework covering token utility, supply, demand, and monetization, arguing that cost per token is the only metric that captures true AI infrastructure ROI. On that basis, NVIDIA Blackwell NVL72 delivers 35 times lower token cost and 50 times more tokens per watt than Hopper, gains invisible to flops-per-dollar analysis.Wed 20 MayInside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299In episode 299 of the NVIDIA AI Podcast, Shruti Kopakar breaks down AI tokenomics into four pillars, token utility, token supply, token demand, and token monetization, and explains why cost per token is a more revealing infrastructure metric than cost per GPU hour or flops per dollar.Wed 13 MaySnap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298Snap's experimentation platform processes more than 10 petabytes of data daily across roughly 500 million daily active users, and the engineering team needed to flatten cost scaling without endlessly adding CPU capacity. By adopting the NVIDIA RAPIDS Accelerator for Apache Spark, Snap achieved a 76 percent reduction in job costs, a 62 percent cut in required CPU cores, and an 80 percent smaller memory footprint, with join-heavy workloads seeing more than 3x speedup.Wed 6 MayHarrison Chase of LangChain on Deep Agents, LangSmith, and Earning Trust | NVIDIA AI Podcast Ep. 297Harrison Chase of LangChain discusses the development of "deep agents," a tool for building AI agents with LLMs, emphasizing the need for observability and evaluation through LangSmith. He highlights the importance of auditability in establishing trust for agents and the transition towards models that can operate continuously. Additionally, the conversation touches on the collaboration with NVIDIA for open runtimes and the potential rise of asynchronous subagents and proactive agents that enhance enterprise AI capabilities, addressing performance and security concerns.Wed 29 AprHow Dassault Systèmes Is Building AI That Understands Physics - Ep. 296Nicolas Saricierre from Dassault Systèmes discusses the integration of AI into the 3D Experience Platform, focusing on virtual twins that simulate products for testing and optimization. The shift to an agent-as-a-service model, relying on scientific principles, enhances design through specialized AI like Leo the Mechanical Designer. Additionally, the collaboration with NVIDIA underlines the importance of AI advancements in improving operational efficiency and compliance, demonstrating the evolution of virtual twins into self-improving assets.Wed 22 AprOne Brain, Any Robot: Skild AI's Skild Brain Explained - Ep. 295The discussion centers on Skilled’s development of OmniBrain, an adaptive intelligence platform for robotics designed to overcome current limitations in task-specific models. Key insights include the necessity for a horizontal data integration approach akin to large language models, and the importance of diverse training data sources—robot, video, and simulation. The conversation also addresses the future potential of AI in automating complex tasks while navigating safety challenges in domestic environments, reflecting broader trends in AI and robotics.Tue 14 AprHow AI Will Change Quantum Computing - Ep. 294NVIDIA's Nick Harrigan discusses how AI will enhance quantum computing through improved error correction and hardware calibration, driving innovations in sectors like pharmaceuticals and finance. The transition from experimental to scalable quantum systems hinges on effective Q bit control, with NVIDIA's Icing models facilitating retraining across technologies. While challenges remain, collaboration with supercomputers and the development of benchmarking systems for AI in this realm are crucial for unlocking the full potential of quantum technology.Thu 12 MarBuilding AI Factories: How Red Hat and NVIDIA Turn Enterprise Data Into Intelligence - Ep. 293The episode discusses the concept of AI factories, systems designed to transform enterprise data into actionable intelligence, enhancing efficiency across organizations. Key elements include the five-layer structure encompassing data centers and applications, with emphasis on security and governance in deploying AI solutions. The rapid growth of AI investment and the advent of agentic systems highlight the transformative potential of AI in various industries, stressing the importance of targeted use cases for innovation and productivity gains.Wed 4 MarPowering the AI Inference Wave with EPRI's Ben Sooter - Ep. 292In Episode 292, Ben Sooter discusses the synergy between AI inference demands and energy grids, emphasizing the role of micro data centers in enhancing efficiency and reducing latency. He outlines challenges with energy load management and proposes a Distributed Inference model that capitalizes on clean energy. The conversation also highlights AI applications in optimizing battery storage and data analysis, signaling a transformative impact on energy reliability while addressing the unique power needs of distributed data centers.Fri 27 FebAI Agents and the Future of Global Trade with Alibaba’s Kuo Zhang - Ep. 291Kuo Zhang, president of Alibaba.com, discusses the platform's evolution in B2B trade and the transformative role of AI in simplifying global trade interactions. The introduction of Axio, an AI-native application, enhances sourcing efficiency by allowing users to make detailed requests, while expert systems analyze product design and buyer-seller interactions. Zhang emphasizes AI's potential to drive GDP growth in global trade, with predictions of a $3 trillion market boost, highlighting its crucial role in modernizing supply chains.Wed 18 FebSafer, Faster Public Transportation: AC Transit’s AI-Powered Upgrade with Hayden AI - Ep 290The discussion highlights the integration of AI technology in public transportation through the collaboration between AC Transit and Hayden AI, focusing on automating bus lane violation enforcement to enhance safety and efficiency. The pilot program demonstrates over 90% accuracy in identifying violations, improving on-time performance and reducing manual monitoring. The conversation also addresses concerns about AI, surveillance, and public education, emphasizing the need for practical solutions that optimize urban mobility and tackle real-world transit challenges.Wed 11 FebDriving Safer AVs Faster with Smart Simulation, Neural Reconstruction, and Data-Centric Tools - Ep. 289The discussion highlights three key topics in the realm of autonomous vehicles (AV): the critical role of quality data for training models, the evolution of AV simulation through neural reconstruction and smart replay technologies, and the trade-off between realism and efficiency in data usage. Experts emphasize enhancing model performance via scenario-driven data curation and the use of mixed real and synthetic data, while also addressing the challenges of safety and the need for cohesive team restructuring to optimize AV development.Wed 4 FebHow AI-Powered Holograms Are Reimagining Fan Experiences at the Big Game - Ep. 288The episode explores how AI-powered holograms, developed by LiveXAI, are reshaping customer experiences, particularly in retail and major sporting events like the Super Bowl. These lifelike holographic agents provide real-time assistance and engagement, potentially increasing satisfaction. Additionally, the collaboration with NVIDIA emphasizes enhancements in computational efficiency and scalability, crucial for deploying these technologies in crowded environments, impacting various industries, including travel and healthcare.Wed 28 JanAccelerating Disaster Response with GiveDirectly's Nick Allardice - Ep. 287In this episode, Nick Allardice of GiveDirectly discusses the innovative use of technology, particularly AI, in enhancing disaster response through direct cash transfers to individuals in crisis. He emphasizes the importance of rapid assessment and aid delivery within 24 to 48 hours, which avoids traditional aid inefficiencies. The conversation also examines the role of machine learning in identifying vulnerable communities and emphasizes the need for expanded access to technology in low-connectivity environments for effective disaster response.Wed 21 JanFrom Warehouses to Robot Shoppers: Jason Goldberg Talks Retail’s AI Makeover - Ep. 286Jason Goldberg discusses AI's transformative impact on retail, emphasizing its role in enhancing supply chain management and labor optimization, which leads to increased efficiency and revenue growth. Major retailers like Amazon and Walmart leverage AI for personalized customer experiences, while the integration of robotic technology is reshaping fulfillment processes. Despite the potential for AI to disrupt traditional retail models, skepticism and the challenge of organizational change hinder widespread adoption, necessitating effective change management strategies for successful integration.Wed 14 JanSafer, Smarter Construction Sites with Edge AI and Caterpillar Autonomous Machines - Ep. 285Brandon Hootman from Caterpillar discusses the integration of AI and edge AI to enhance safety and efficiency on construction sites through real-time decision-making and digital twin technology. The collaboration with Nvidia fosters an AI ecosystem for improved manufacturing processes, predictive maintenance, and operator experience. Future advancements in generative AI are anticipated to revolutionize heavy industry, addressing challenges like aging machinery while enhancing operational capabilities.Mon, 29 Dec 2025Lowering the Cost of Intelligence With NVIDIA's Ian Buck - Ep. 284The discussion features Ian Buck of Nvidia delving into the Mixture of Experts (MOE) architecture, which enhances AI model performance while lowering operational costs through selective neuron activation. Buck compares traditional models with MOEs, highlighting their efficiency in delivering intelligent responses and emphasizing the impact of GPU advancements on AI capabilities. Additionally, the conversation addresses the significance of tokenomics in reducing costs amid complex AI systems, pointing to IoT advancements as vital for future applications.Wed, 17 Dec 2025How Anyone Can Build Meaningful AI Without Code - Ep. 283In the episode, Shania Levin of Impromptu AI discusses building meaningful AI without code, emphasizing the democratization of AI and its accessibility for non-technical users. Key topics include enhancing AI output accuracy through adaptive technologies and fostering a co-build model for client collaboration. Levin also highlights the need for trust in AI systems and the integration of custom data models for tailored applications, showcasing AI's potential to transform industries and address challenges like climate change.Wed, 10 Dec 2025AI in 2025: From Agents to Factories - Ep. 282The podcast explores AI advancements anticipated by 2025, emphasizing the evolution of AI agents from basic to fully autonomous systems aimed at improving productivity. Discussions include the concept of modern AI factories, which streamline the transition from data science to production while ensuring data security and user trust. Additionally, AI's transformative impact on sectors like healthcare and agriculture is highlighted, showcasing its potential through innovative applications and collaborative solutions.Tue, 18 Nov 2025How AI Data Platforms Are Shaping the Future of Enterprise Storage - Ep. 281The discussion centers on the transformative impact of AI data platforms on enterprise storage, highlighting the shift toward making data "AI-ready" through integration with GPUs for real-time updates and enhanced security. Challenges in transitioning from proof of concept to production are noted, particularly concerning data access and governance. Additionally, the conversation explores the evolution of storage technology and the need for knowledgeable data agents to manage security and efficiency in organizations adopting these platforms.Wed, 12 Nov 2025Mayor Matt Mahan on How AI Is Changing City Life in San Jose - Ep. 280San Jose, under Mayor Matt Mahan, is leveraging AI to enhance city services, including a pioneering AI upskilling program for employees and a civic AI grant initiative. The city aims to optimize processes like permitting and public safety via AI technologies, while fostering a diverse startup ecosystem. Challenges persist, such as resource limitations, but collaboration and innovation remain central to Mahan's vision for using AI to improve community life and streamline operations.Tue, 11 Nov 2025State of AI Innovation | GTC Live Washington, D.C. Chapter 1The podcast explores the current landscape of AI innovation, emphasizing a shift towards application layers that enhance productivity across sectors like coding and healthcare. It discusses the transformative potential of low-code solutions, the emergence of AI-assisted knowledge workers, and the importance of open source in driving democratic innovation. Concerns about market bubbles and data roles in AI growth are also highlighted, alongside discussions on AI's ability to improve efficiency while maintaining the need for skilled professionals in a rapidly evolving technological ecosystem.Tue, 11 Nov 2025Agentic AI for Every Industry | GTC Live Washington, D.C. Chapter 2The podcast discusses the transformative impact of agentic AI across industries, emphasizing its transition from research to practical applications. Panelists highlight the growing role of AI in enhancing productivity, particularly in coding and healthcare, while addressing operational inefficiencies. Additionally, they explore the competitive landscape in cybersecurity and the potential of browser agents to revolutionize user experiences, signaling a shift toward more intuitive, task-oriented technologies.Tue, 11 Nov 2025AI Infrastructure Ecosystem | GTC Live Washington, D.C. Chapter 3The notes emphasize the critical role of robust infrastructure in supporting AI advancements, highlighting data centers as modern factories reliant on diverse power sources to meet surging energy demands. The integration of electrification and digital solutions, alongside innovations in cooling and energy management, is necessary for efficient AI operations. Additionally, partnerships, such as between NVIDIA and Schneider Electric, illustrate the industry’s shift towards collaborative approaches for enhancing infrastructure and sustaining the growth of AI technology.Tue, 11 Nov 2025AI for Science | GTC Live Washington, D.C. Chapter 4The NVIDIA AI Podcast episode emphasizes the transformative impact of AI in scientific discovery, particularly in drug development and genomics, where it aims to shorten timelines and enhance productivity. Discussions on the integration of classical and quantum computing highlight their collaborative potential in tackling complex challenges. Furthermore, insights into AI's application in chip design illustrate the growing intersection of AI and advanced technologies, signaling a pivotal shift towards improved efficiency and innovation in scientific research.Tue, 11 Nov 2025AI for Robotics and Manufacturing | GTC Live Washington, D.C. Chapter 5The NVIDIA AI Podcast highlights the transformative role of AI in robotics and manufacturing, emphasizing the shift toward AI-intensive Industrial 5.0, as discussed by industry leaders like Yong Liu and Peter Kurta. Key points include Foxconn's investment in AI for enhanced manufacturing intelligence and Figure AI's development of humanoid robots to perform human tasks. Additionally, the conversation touches on the evolving collaboration between government and industry, encouraging innovation and addressing national security concerns.Tue, 11 Nov 2025GTC Live Washington, D.C. Chapter 2: Agentic AI for Every IndustryThe podcast "GTC Live Washington, D.C. Chapter 2: Agentic AI for Every Industry" emphasizes the transformative power of agentic AI in enhancing various sectors, especially healthcare, where it aims to reduce clinician burnout. Discussions spotlight the rapid growth of coding agents in enterprises and evolving security complexities amidst AI advancements. The potential of AI systems to shift traditional operating models and improve user interaction through personal agents is also addressed, alongside the balancing act of productivity gains versus human oversight in software development.Tue, 11 Nov 2025GTC Live Washington, D.C. Chapter 3: AI Infrastructure EcosystemThe discussion highlights three key areas of the AI infrastructure ecosystem: the critical role of data centers as modern factories requiring scalable power and improved efficiency to support the burgeoning AI demands; the urgent need for diverse energy sources and innovative solutions, such as liquid cooling and modular designs, to meet future energy needs; and the importance of collaboration among companies, including NVIDIA's significant contributions, to drive advancements in AI and power management technologies.Tue, 11 Nov 2025GTC Live Washington, D.C. Chapter 4: AI for ScienceThe podcast episode "GTC Live Washington, D.C. Chapter 4: AI for Science" explores the transformative role of AI in scientific discovery, particularly in drug development and genomics. It discusses the collaboration between classical and quantum computing to enhance research capabilities, emphasizing Nvidia's commercialization efforts. Key insights include AI's potential to revolutionize drug design through innovations like AlphaFold and the importance of data accuracy and simulations in this process, all while highlighting the interconnectedness of AI, infrastructure, and scientific advancements.Tue, 11 Nov 2025GTC Live Washington, D.C. Chapter 5: AI for Robotics and ManufacturingThe podcast "GTC Live Washington, D.C. Chapter 5: AI for Robotics and Manufacturing" highlights the integration of AI and robotics in enhancing manufacturing competitiveness and national security. Key insights include Yong Liu's vision of Industrial 5.0, emphasizing collaboration with tech leaders to advance automation, and Peter Kurta's focus on AI-native factories to address supply chain challenges. The conversation also covers advancements in humanoid robotics by Brett Adcock and the importance of data integration for optimizing operations.Tue, 11 Nov 2025GTC Live Washington, D.C. Chapter 1: State of AI InnovationThe podcast discusses the evolving landscape of AI innovation, particularly the shift towards infrastructure investments in semiconductors and large language models, which are poised to transform sectors like coding and healthcare. Participants highlight AI's potential to enhance productivity and democratize entrepreneurship within the $30 trillion knowledge worker market. There is also a focus on the necessity for open innovation while addressing the implications of data-centric approaches and the diminishing returns of merely scaling compute power in AI development.Tue, 11 Nov 2025GTC Live Washington, D.C. - Chapter 1: State of AI InnovationThe discussion at GTC Live in Washington, D.C. highlights the significant shift towards AI applications across various sectors, emphasizing productivity gains and the rise of low-code solutions. Key insights include the transformative role of AI in enhancing human capabilities, the economic potential of AI teammates, and the importance of open source innovation to drive success. The conversation also addresses concerns about market dynamics and the necessity of investing in energy infrastructure to support AI advancements, emphasizing the continued importance of human roles in the evolving tech landscape.Tue, 11 Nov 2025GTC Live Washington, D.C. - Chapter 2: Agentic AI for Every IndustryThe podcast discusses the transformative role of agentic AI across industries, emphasizing its potential to enhance user engagement and productivity, particularly for software engineers. It highlights the importance of addressing healthcare challenges through AI to alleviate clinician burdens while advocating for security measures that evolve alongside technological advancements. The conversation also touches on the necessity of partnerships and innovations in both AI and blockchain technology to create more efficient and user-friendly systems.Tue, 11 Nov 2025GTC Live Washington, D.C. - Chapter 3: AI Infrastructure EcosystemThe podcast discusses the crucial role of AI in transforming industries and its dependence on robust data center infrastructure, with predictions for increased power and thermal demands by 2030. Key insights include the importance of diverse energy sources for future demand, the integration of digital solutions in data centers, and collaborations like Nvidia and Schneider Electric to advance efficiency. Startups play a significant role in innovating the grid to support AI advancements, paralleling the urgency of historical projects like the Manhattan Project.Tue, 11 Nov 2025GTC Live Washington, D.C. Pregame - Chapter 1: State of AI InnovationThe GTC Live Washington, D.C. Pregame podcast highlights the state of AI innovation, emphasizing a shift in value towards application layers across various sectors, while addressing AI's transformative influence on software development. Discussions also introduce "AI teammates," predicting a $6 trillion economic opportunity in enhancing human capabilities. The importance of open-source innovation and strategic partnerships is stressed for fostering collaboration, as well as the potential need for regulatory easing to support AI growth and data handling advancements.Tue, 11 Nov 2025GTC Live Washington, D.C. Pregame - Chapter 2: Agentic AI for Every IndustryThe GTC Live Washington, D.C. podcast highlights the promise of agentic AI to transform industries, with discussions on its role in enhancing productivity and addressing challenges in healthcare, such as clinician burnout. The conversation also touches on security issues in the AI landscape, emphasizing the importance of integrated solutions for data management. Additionally, innovations in coding agents and web-based personal assistants underscore the increasing integration of AI across various sectors, hinting at future hardware advancements.Tue, 11 Nov 2025GTC Live Washington, D.C. Pregame - Chapter 3: AI Infrastructure EcosystemThe discussion focuses on the AI Infrastructure Ecosystem, highlighting the vital role of robust data center infrastructure, particularly power and cooling systems, in supporting AI's growth across sectors like manufacturing and medicine. Key insights emphasize the necessity for innovation in energy management and electrification, as well as collaboration among startups, industry leaders like Nvidia, and local governments. The challenges of scaling AI capabilities and integrating renewable energy sources are framed as crucial for maintaining U.S. leadership in AI development.