Explore every episode of the podcast NVIDIA AI Podcast

Instacart has 1.6 billion lifetime grocery orders—and is now using that data flywheel to digitize the physical store itself. In this episode, David McIntosh, Chief Connected Stores Officer at Instacart, explains how the Caper Cart—powered by an NVIDIA Jetson™ board and a sensor fusion system combining cameras, weight sensors, and location data—is bringing edge AI to the grocery aisle. He shares what's driving double-digit sales lift for retailers, how AI agents are beginning to automate store operations, and why in-store and online shopping will merge into a single unified experience within the decade. 🔬Topics covered: How Caper Carts use NVIDIA Jetson and sensor fusion to identify items in real time Why edge AI matters: hundreds-of-milliseconds response vs. seconds in the cloud Double-digit sales lift from personalized in-cart recommendations Building a grocery foundation model from 1.6B orders and live in-store data AI agents for store ops: proactive out-of-stock alerts and CPG shelf optimization Chapters: 00:00 – Introduction and the Connected Store vision 04:00 – Caper Cart: NVIDIA Jetson, sensor fusion, and edge AI 08:06 – How basket recognition and recommendations work 15:53 – Double-digit sales lift and what shoppers actually want 22:25 – Store ops, employees, and the real-time data flywheel 28:26 – AI agents, the grocery foundation model, and what's next

Open-weight models are closing the gap with proprietary AI — and Timothée Lacroix, cofounder and CTO of Mistral, has been betting on that since day one. In this episode, he explains why open weights accelerate enterprise adoption, how Mistral is bringing model customization into production, and what a 2.5x training speed improvement on GB200s means for the next generation of large sparse mixture-of-experts models. He also shares the open problem keeping him up at night: getting AI agent permission systems right before write access becomes the norm. 🔬Topics covered: How open models and weights accelerate research Mistral Forge: bringing enterprise-grade model customization to production The Nemotron Coalition—what Mistral and NVIDIA are building together 2.5x training gains on GB200s for large sparse mixture-of-experts models Why AI agent permissions—especially write access—is important to solve Chapters: 00:00 – Introduction and Mistral’s origin story 04:05 – The case for open weights and why the community builds faster 09:34 – Mistral Forge: enterprise model customization in production 14:21 – What enterprise customers actually want from AI right now 18:46 – The hardest open problem: AI agent permissions and write access

Seeed Studio is a leader in open source robotics, delivering affordable NVIDIA Jetson‑powered arms that put embodied AI into the hands of millions of makers, students, and small businesses. In this episode, Seeed Studio CEO Eric Pan and Head of Robotics Elaine Wu explain how open hardware, the OpenClaw agentic framework, and NVIDIA Isaac Sim are turning robot arms into controllable, teachable agents—and what it takes to bring these physical AI tools into real‑world settings responsibly. 🔬Topics covered: Why open source is the fastest path to accessible robotics How the $200 SOR arm (with Hugging Face) lowers the barrier to embodied AI Training robot arms like a dog: from months of coding to intuitive hand‑guided learning OpenClaw on Jetson: turning natural‑language commands into robot skills Using NVIDIA Isaac Sim and digital twins to bridge simulation and real‑world deployment Building modular robot parts (heads, arms, wheels) instead of monolithic humanoids Chapters: 00:00 – Welcome and introductions 02:00 – From open hardware modules to robotics and edge AI 05:00 – Why open source drives adoption and trust in robotics 09:00 – The $200 SOR arm: open source with Hugging Face 12:00 – Training robot arms like a dog: intuitive, hand‑guided learning 15:00 – OpenClaw on Jetson: text‑to‑robot control 20:00 – Isaac Sim and digital twins: bridging simulation and reality 27:00 – Modular design: heads, arms, wheels instead of humanoids 32:00 – Everyone can participate in physical AI: closing thoughts

As AI factories scale and token costs become a defining competitive variable, the way businesses measure infrastructure ROI needs to change. In this episode, Shruti Koparkar from NVIDIA's Accelerated Computing team breaks down tokenomics—the four-pillar framework of token utility, supply, demand, and monetization—and reveals why NVIDIA Blackwell's architecture delivers 50x more tokens per watt than NVIDIA Hopper, translating to a 35x reduction in token cost. 🔬Topics covered: The four pillars of tokenomics: utility, supply, demand, and monetization Why cost per token beats FLOPS per dollar as an infrastructure metric NVIDIA Blackwell vs. Hopper: 50x more tokens per watt, 35x lower token cost How extreme co-design turns spec-sheet numbers into real-world output Jevons paradox: why lower token cost always drives more GPU demand, not less The four business models for turning tokens into revenue Chapters: 00:00 – Introduction and the four pillars of tokenomics 02:09 – Token value: intelligence, interactivity, and use case mapping 06:32 – Estimating token demand: users, reasoning, and agentic multipliers 10:00 – Token supply and why cost per token is the right infrastructure metric 13:12 – NVIDIA Blackwell vs. Hopper: 50x more tokens, 35x lower cost 14:52 – Extreme co-design for lowest token cost and the NVIDIA Vera Rubin platform 21:10 – How software multiplies hardware performance (8x gains in six months) 23:56 – Token monetization: pricing and business models 26:52 – Jevons paradox and the future of GPU demand

Snap processes more than 10 petabytes of experimentation data every single morning—and with NVIDIA GPU-accelerated Apache Spark on Google Cloud, Snap cut job costs by 76%, reduced memory usage by 80%, and eliminated 120 terabytes of disk spill from its pipelines. Prudhvi Vatala, head of engineering platforms at Snap, joins the NVIDIA AI Podcast to break down how he and his team completely modernized data infrastructure for a social platform serving nearly a billion monthly active users—using NVIDIA cuDF plugin (formerly referred to as NVIDIA RAPIDS plugin) for Apache Spark on Google Kubernetes Engine, with zero application code changes. 🔬Topics covered: How Snap runs A/B tests at planetary scale using rigorous statistical methods like heterogeneous treatment effect detection and variance reduction Why Snap reuses idle inference GPUs between 1–5 a.m. for batch data processing—and how it built a Kubernetes-based platform to do it How NVIDIA cuDF delivered 3x+ speedups on join-heavy Spark jobs with no code rewrites The full business impact: 76% cost reduction, 62% fewer cores, 80% less memory, 120 TB of spill eliminated How a three-way partnership between Snap, NVIDIA, and Google Cloud made it possible in just 8–9 months Chapters: 0:00 Introduction and Snap overview 3:35 What is Snap’s experimentation platform? 4:05 Why experimentation, safety, and privacy are core at Snap 4:52 How A/B testing works at billion-user scale 8:14 Discovering NVIDIA cuDF plugin 9:06 Benchmarking results: join, union, and aggregation jobs 12:00 Reusing idle GPUs overnight via GKE 13:24 Building a bottom-up GPU data platform at Snap 17:48 Results: 76% cost reduction and partnership impact 20:56 Snap’s evolution and what’s next Learn more: NVIDIA cuDF: https://developer.nvidia.com/topics/ai/data-science/cuda-x-data-science-libraries/cudf#accel-apache

LangChain has surpassed 1 billion downloads—and the framework that started as a weekend project is now the harness powering the next generation of production-grade AI agents. In this episode, Harrison Chase, co-founder & CEO of LangChain, breaks down the architecture behind deep agents, explains why systems like Claude Code, Manus, and Deep Research all share the same foundational pattern, and lays out what it actually takes to deploy autonomous agents responsibly in the enterprise. 🔬Topics covered: What is a "deep agent," and why does architecture matter more than ever? How enterprises are (and aren't) embracing autonomous agents LangSmith: observability, tracing, and evaluation-driven development Mixing frontier and open models (NVIDIA Nemotron) in multi-agent systems What's next: async subagents, proactive/always-on agents, agent memory, and agent identity Chapters: 00:00 – LangChain origin story and the deep agent architecture 01:46 – What is a deep agent? 03:31 – Enterprise trust: risk, autonomy, and iteration 04:38 – LangSmith: observability and evaluation-driven development 13:30 – Frontier vs. open models and the Nemotron Coalition 18:10 – What's next: async subagents, agent memory, and agent identity

Generative AI can predict whether a plane takes off—but does it know why? Nicolas Cerisier, VP of 3DEXPERIENCE Platform R&D at Dassault Systèmes, explains how industrial world models go beyond pattern recognition to embed the actual laws of physics, chemistry, and engineering. In this episode of the NVIDIA AI Podcast, he also breaks down Dassault's three virtual companions (AURA, LEO, and MARIE), their 25-year collaboration with NVIDIA, and a stunning real-world use case: helping NIAR rebuild aircraft designs part by part, using AI.

What if one AI brain could run every robot on the planet—a humanoid, a warehouse arm, and a dog-like inspection bot—all at once? That's not a thought experiment. That's what Skild AI is building right now. Deepak Pathak (CEO and Co-Founder) and Abhinav Gupta (President and Co-Founder) of Skild AI join the pod to break down Skild Brain—a universal, general-purpose AI model designed to power robots of any form factor, tackling any task, from a single shared intelligence.

What happens when you combine AI with quantum computing? NVIDIA's Nic Harrigan joins the AI Podcast to break down the state of quantum, explain why error correction is the pivotal challenge, and reveal how NVIDIA Ising—the world's first open AI model family for quantum—is changing the game. 🔗 Resources mentioned: ► Read our NVIDIA Ising announcement  ► Learn more about NVIDIA Ising  ► Learn more about NVIDIA Quantum Computing Chapters: 0:00 Intro 0:55 What is quantum computing? 4:00 Qubits, noise, and error correction 5:26 How AI helps quantum error correction 10:57 Applications: drug discovery and materials 15:33 NVIDIA Ising announcement 20:35 Scaling quantum hardware 27:31 Algorithm development with generative AI

Enterprises are moving from AI pilots to full‑scale AI factories that turn data into trusted digital intelligence. Red Hat CTO Chris Wright and NVIDIA’s Justin Boitano unpack the "five‑layer cake" AI factory stack, from accelerated hardware and hybrid cloud infrastructure to models, agents, and production‑grade governance.

AI is reshaping electricity demand. What does increased demand, and the shape of that demand, mean for the electric grid? Ben Sooter, Director of R&D at EPRI joins the podcast to explain why most of an AI model’s lifetime energy use comes from inference rather than training, and how micro data centers located near underutilized substations can help deliver low‑latency AI services while strengthening grid resilience.

Alibaba.com president Kuo Zhang discusses how AI agents like Accio are reshaping global trade. He shares insights on automating complex B2B sourcing, compressing weeks of work into minutes, lowering barriers for solo entrepreneurs and SMEs, and what AI-native commerce will mean for the next decade.

Transit agencies are using AI and edge computing to keep bus lanes and bus stops clear — boosting on‑time performance, accessibility, and safety for riders. AC Transit CTO Ahsan Baig and Hayden AI CEO Marty Beard explain how bus‑mounted cameras and NVIDIA-powered edge AI automatically detect vehicles blocking bus lanes and stops, protect rider privacy by design, and are helping change driver behavior in the San Francisco Bay Area. Explore the next wave of AI innovation at NVIDIA GTC. Learn more.

How can AV teams stop drowning in petabytes of data and actually ship safer autonomy faster? Fortellix’s Rohan Bhasin and Voxel51’s Dan Gural explain how neural reconstruction, scenario-driven data curation, and NVIDIA-powered pipelines turn ordinary drive logs into high-fidelity simulations that close the last-mile gap in AV performance. GTC is the premier global AI conference. Learn more at nvidia.com/gtc

How are real‑time 4K holograms that look, sound, and respond like people changing fan engagement? Jia Li, co‑founder, president, and chief AI officer of LiveX AI, shares how human‑like AI agents bridge the digital and physical worlds—from greeting travelers at airports to guiding fans through fan zones and supporting wayfinding at major sports events. Join the world's premier AI conference: NVIDIA GTC

GiveDirectly president and CEO Nick Allardice explains how his team uses AI, mobile money, and satellite imagery to send cash directly to people living in poverty and crisis, often within days of a disaster. He describes how AI-powered tools help forecast floods in places like Nigeria, Bangladesh, and Mozambique, and how “anticipatory action” can get money to families before disaster strikes.  Learn more about the AI Podcast: ai-podcast.nvidia.com

Jason “Retailgeek” Goldberg, Chief Commerce Strategy Officer at Publicis Groupe, discusses how AI is  optimizes retail operations and is rewriting the consumer shopping experience. Learn why AI acceleration is able to reimagine the retail pipeline — from supply chain to personalized robot shoppers that could streamline the flow of goods starting at the warehouse and ending on your doorstep. More AI Podcast: ai-podcast.nvidia.com

Brandon Hootman, Vice President of Data and Artificial Intelligence at Caterpillar, joins the AI Podcast to discuss how the company uses NVIDIA’s AI Factory, Omniverse digital twins, and edge AI to streamline manufacturing, improve safety, and bring AI copilots into heavy equipment on real-world job sites. Browse the full AI Podcast catalog

Discover how mixture‑of‑experts (MoE) architecture is enabling smarter AI models without a proportional increase in the required compute and cost. Using vivid analogies and real-world examples, NVIDIA’s Ian Buck breaks down MoE models, their hidden complexities, and why extreme co-design across compute, networking, and software is essential to realizing their full potential.  Learn more: https://blogs.nvidia.com/blog/mixture-of-experts-frontier-models/ 

Empromptu CEO Shanea Leven shares how her company helps people without coding experience build meaningful, production-ready AI applications — fast and accurately. Powered by NVIDIA CUDA, Empromptu’s “AI that builds AI” platform is making cutting-edge technology accessible to all, enabling creators to turn bold ideas into real-world impact. Listen to the full show archive at ai-podcast.nvidia.com

The year in AI began with agents and brought us creative superpowers, robots on farms and in operating rooms, and so much more. Look back on AI in 2025 through the voices of the people who created it in this recap episode. Listen to every episode: ⁠ai-podcast.nvidia.com 

Bringing GPUs to your data is a game changer for the modern enterprise. Jacob Liberman, Director of Enterprise Product Management at NVIDIA, details the AI Data Platform, a GPU-accelerated storage platform built for AI. Browse the entire AI Podcast catalog: ⁠ai-podcast.nvidia.com

Mayor Matt Mahan and NVIDIA’s Jumbi Edulbehram reveal how AI is making San Jose smarter—optimizing transit, translating meetings in real time, upskilling city staff, and powering pioneering civic programs. Learn how AI is helping streamline services and create a more responsive city for everyone. Browse the entire AI Podcast catalog: ai-podcast.nvidia.com

Coverage from keynote pregame show, GTC Live Washington D.C.  Chapter 5: AI for Robotics and Manufacturing The boundary between digital intelligence and physical action is disappearing. Industry pioneers show how robotics and automation are turning insight into production. Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠

Coverage from keynote pregame show, GTC Live Washington D.C.  Chapter 4: AI for Science In laboratories and research centers, AI is becoming a core instrument of discovery. Scientists and technologists explore how computation is accelerating progress across fields. Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠

Coverage from keynote pregame show, GTC Live Washington D.C.  Chapter 3: AI Infrastructure Ecosystem Behind every breakthrough is an unseen network of data centers, power systems, and partners. Leaders across energy and infrastructure discuss how they’re building the backbone of the AI economy. Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠

Coverage from keynote pregame show, GTC Live Washington D.C.  Chapter 2: Agentic AI for Every Industry Intelligent systems are beginning to plan, reason, and act, reshaping how industries work. Builders share how these capabilities are moving from research into real-world impact. Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠

Coverage from keynote pregame show, GTC Live Washington D.C.  Chapter 1: State of AI Innovation A look at how new ideas, models, and open collaboration are shaping the direction of AI. Investors and founders trace where the next wave of durable innovation is coming from. Catch up with GTC DC on-demand: https://www.nvidia.com/en-us/on-demand/

Dr. Seher Awan, president of Mission College, shares her inspiring journey from first-generation college student to higher education leader in the heart of Silicon Valley. Discover how Mission College is embracing AI to break barriers, close equity gaps, and empower underrepresented communities through accessible education and innovative student support. Browse the AI Podcast catalog: ai-podcast.nvidia.com

Learn how NVIDIA's Nemotron family of open source models is redefining accelerated computing. NVIDIA’s Bryan Catanzaro and Jonathan Cohen discuss the breakthroughs in efficiency, openness, and collaboration — sharing how Nemotron empowers developers and enterprises to innovate, customize, and trust AI for every industry. Browse the full AI Podcast archive: ai-podcast.nvidia.com

Learn how agentic AI is transforming pharma. IQVIA’s Raja Shankar and Avinob Roy share how intelligent automation accelerates clinical trials, improves commercial strategy, and powers better patient care — turning healthcare data into outcomes at scale. Listen to the full archive: ai-podcast.nvidia.com

Shai Shen-Orr, co-founder and chief scientist at CytoReason and professor at the Technion, talks about the next frontier in healthcare: disease modeling. Shai shares how CytoReason bridges the gap between exploding biological data and actionable insight, powering smarter, faster drug development for leading pharma and biotech companies. Learn more: ai-podcast.nvidia.com

President Cynthia Teniente-Matson discusses how San José State University is equipping both students and faculty to confidently embrace AI and prepare for tomorrow’s workforce. Learn more about SJSU’s hands-on AI integration in courses, AI-driven teaching tools, faculty development programs, innovative collaborations, and real-world projects—all building a more inclusive, future-ready campus. Check out other stories on nvidia.com/ai-for-good/

Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, reveals how the three computer solution—DGX for training, Omniverse and Cosmos for simulation, and Jetson AGX for real-time inference—is transforming modern robotics. From sim-to-real breakthroughs to humanoid intelligence, discover how NVIDIA's full-stack approach is making robots more adaptive, capable, and ready for real-world deployment.  Learn more at ai-podcast.nvidia.com.

Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery. Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research.  Learn more at ⁠ai-podcast.nvidia.com⁠.

CEO Anne Osdoit joins the podcast to explore how Moon Surgical’s Maestro platform blends robotics, AI, and human expertise to boost surgeon skills, enhance workflow efficiency, and reduce fatigue. Hear firsthand how patient outcomes improve, hospitals streamline resources, and surgical teams achieve greater confidence and consistency—all with the power of NVIDIA edge computing and AI. Check out other stories on nvidia.com/ai-for-good/

Derek Slager, co-founder and CTO of Amperity, explores how agentic AI and vibe coding are reshaping enterprise data management and the developer experience on the NVIDIA AI Podcast. Hear how Amperity’s platform unifies customer data, powers advanced analytics, and brings conversational interfaces to every part of the organization—helping brands activate, segment, and leverage insights at scale. Discover why data quality matters more than ever, how agentic AI transforms workflows, and why human accountability stays central in the age of automation. Learn more at ai-podcast.nvidia.com. podscan_PWXJwbBueH0iSHIUDliAbnP9LttIH8n9

Paul Mikesell, Founder and CEO of Carbon Robotics, shares how combining artificial intelligence and lasers is transforming modern agriculture. From identifying and eliminating billions of weeds without chemicals to boosting crop yields and reducing operational costs, AI-driven robots are helping farmers operate more efficiently and sustainably. Discover how AI-powered farm machinery is reshaping weed control, empowering growers, and paving the way for cleaner, future-focused food production. Check out other stories on nvidia.com/ai-for-good/

Sanja Fidler, VP of AI Research at NVIDIA, joins the AI Podcast to share her journey from early curiosity to leading the Spatial Intelligence Lab in Toronto. Sanja discusses her path through research and what drew her to the world of AI and computer vision. She explains her team’s work on spatial intelligence—teaching AI to understand and create in 3D—and how this research is helping make content creation and simulation more accessible for everyone. She also discusses how breakthroughs in simulation, 3D modeling, and vision language models are powering the future of robotics and autonomous systems. Learn more at ai-podcast.nvidia.com.

Aaron Luk, NVIDIA’s Director of Product Management for Simulation Technology, dives into Universal Scene Description (OpenUSD) and how it integrates seamlessly with AI to simulate rich, physically accurate scenarios. Discover how OpenUSD unifies data, powers digital twins, and uses AI for realistic simulations in industries from filmmaking to robotics. Learn why standards matter, how non-coders can get started, and how OpenUSD is shaping the future of digital design and physical AI. Learn more at ai-podcast.nvidia.com.

Tin Sohn, technical lead for vision-language-action models at Porsche, and Brian Moore, CEO and co-founder of Voxel51, explore how AI, data, and simulation are shaping the future of autonomous vehicles. They share insights on the industry's transition from rule-based systems to data-driven, end-to-end approaches, the growing use of synthetic and simulated data for safety-critical testing, and how foundation models can enable cars to reason, act, and even interact like human drivers. Learn more at ai-podcast.nvidia.com.

Mike Pritchard, Director of Climate Simulation Research at NVIDIA, discusses how artificial intelligence is enhancing the way we model and predict climate patterns. From developing high-resolution, interactive simulations to accelerating climate forecasts, AI is enabling scientists, policymakers, and businesses to gain a deeper understanding of extreme weather and long-term climate change. Learn more at ai-podcast.nvidia.com.

Danny Wu, Head of AI Products at Canva, explains how AI is transforming visual communication from a tool for professionals into superpowers for everyone. With over 18 billion uses of their AI features, Canva demonstrates how machine learning evolved from content search to generative design tools that let anyone create on-demand visuals. Plus, hear how they're prioritizing user consent and transparency while scaling AI across 230 million users. Learn more at ai-podcast.nvidia.com

Greg Meyers, chief digital and technology officer at Bristol Myers Squibb, explains how AI is transforming pharmaceutical research from hypothesis-driven hunches to data-driven discoveries. Learn how the company is using computational chemistry to engineer breakthrough therapies like a sickle cell treatment heading to human trials, and why they built internal AI tools for 25,000+ employees. Learn more at ai-podcast.nvidia.com.

Tomás Puig, founder and CEO of Alembic, joins the NVIDIA AI Podcast to discuss the intersection of AI, data, and marketing. He shares how Alembic uses advanced mathematics and AI—particularly spiking neural networks and causal inference—to help brands extract actionable insights from massive, anonymized datasets. The discussion also touches on the evolving role of human creativity in an AI-driven world, and the importance of private data as a competitive advantage. Learn more at ai-podcast.nvidia.com.

Munjal Shah, CEO of Hippocratic AI, discusses how AI agents can dramatically expand healthcare capacity and access. With 1.8 million patient calls completed and an 8.95/10 satisfaction rating, Hippocratic's safety-focused LLM demonstrates how optimized AI inference can handle routine patient monitoring, post-surgery check-ins, and medication management - freeing human clinicians to focus on complex care requiring physical intervention. Learn about their constellation architecture using 22 models for safety validation and how their healthcare AI agent app store enables clinicians to scale certain aspects of their expertise. Learn more at: ⁠⁠ai-podcast.nvidia.com

Tony Ambrozie from CVS Health and Arijit Sengupta from Aible share how their partnership is transforming enterprise AI development through rapid prototyping and human-centered design. Discover their proven methodology for moving from concept to production in just 30 days, why they treat AI agents like interns who need training and feedback, and how reasoning models are creating more reliable and trustworthy AI systems. They also explore the future of autonomous agents, the importance of responsible AI in healthcare, and why the next wave of AI will focus on empowering humans rather than replacing them. Learn more at: ⁠ai-podcast.nvidia.com

In this episode of the NVIDIA AI Podcast, Dr. Marco Pavone, Director of Autonomous Vehicle Research at NVIDIA and Professor at Stanford University, joins us to discuss the cutting-edge technologies making autonomous vehicles safer than ever. Learn how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development, and reducing real-world risks. Dr. Pavone also shares insights on the latest advances in generative AI and foundation models, and its impact on autonomous vehicle innovation—from city streets to aerospace. Learn more at: ai-podcast.nvidia.com

Bernt Børnich, founder and CEO of 1X Technologies, shares his vision for the future of humanoid robotics. Hear how the company is building fully autonomous robots that can learn and adapt in real-world environments. Learn more at ai-podcast.nvidia.com

Bartley Richardson, senior director of engineering and AI infrastructure at NVIDIA, discusses the transformative potential of agentic AI as the next level of automation and introduces the NVIDIA Agent Intelligence toolkit, which ensures seamless integration and observability across multi-vendor agent systems.