『NVIDIA AI Podcast』のカバーアート

NVIDIA AI Podcast

NVIDIA AI Podcast

著者： NVIDIA
無料で聴く

Explore how the latest technologies are shaping our world, from groundbreaking discoveries to transformative sustainability efforts. The NVIDIA AI Podcast shines a light on the stories and solutions behind the most innovative changes, helping to inspire and educate listeners. More information: https://ai-podcast.nvidia.com/All rights reserved e203f610-4315-11f0-9656-27588e6ca9e9
エピソード
  • Inside Instacart's AI-Powered Smart Shopping Cart | NVIDIA AI Podcast Ep. 302

    Inside Instacart's AI-Powered Smart Shopping Cart | NVIDIA AI Podcast Ep. 302
    2026/06/24
    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
    続きを読む 一部表示
    40 分
  • How Mistral Is Building Frontier AI for the Enterprise | NVIDIA AI Podcast Ep. 301

    How Mistral Is Building Frontier AI for the Enterprise | NVIDIA AI Podcast Ep. 301
    2026/06/10
    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
    続きを読む 一部表示
    22 分
  • Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300

    Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300
    2026/05/27
    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
    続きを読む 一部表示
    29 分
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません