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NVIDIA AI Podcast

NVIDIA
Generative AI
Artificial Intelligence
Nvidia
Machine Learning
AI Agents
Agentic AI
Robotics
Energy Efficiency
Data Centers
Manufacturing
AI Technology
Healthcare
Climate Change
Sustainability
Autonomous Vehicles
Automation
Inworld AI
Large Language Models
Siemens
Accelerated Computing

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: ai-podcast.nvidia.com/

PublishesWeeklyEpisodes304Founded9 years ago
Number of ListenersCategory
Technology

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Artwork for NVIDIA AI Podcast

Latest Episodes

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 Robot... more

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-pil... more

YouTube

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 i... more

YouTube

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... more

YouTube

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Recent Guests

Shruti Koparkar
Member of the Accelerated Computing team focusing on inference
NVIDIA
Episode: Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299
Prudhvi Vatala
Head of Engineering Platforms at Snap
Snap
Episode: Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298
Nicolas Soezier
Vice President of 3D Experience Platform, Research and Development at Dassault Systèmes
Dassault Systèmes
Episode: How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296
Deepak Pathak
Professor, Skild; Co-founder, Skild; researcher in robot learning
Skild
Episode: One Brain, Any Robot: Skild AI's Skild Brain Explained - Ep. 295
Abhinav Gupta
Professor, Skild; Co-founder, Skild; researcher in robot learning
Skild
Episode: One Brain, Any Robot: Skild AI's Skild Brain Explained - Ep. 295
Nic Harrigan
Product Marketing Manager for Quantum Computing at NVIDIA
NVIDIA
Episode: How AI Will Change Quantum Computing - Ep. 294
Chris Wright
Chief Technology Officer and Senior Vice President of Global Engineering
Red Hat
Episode: Building AI Factories: How Red Hat and NVIDIA Turn Enterprise Data Into Intelligence - Ep. 293
Justin Boitano
Vice President and General Manager of Enterprise Computing
NVIDIA
Episode: Building AI Factories: How Red Hat and NVIDIA Turn Enterprise Data Into Intelligence - Ep. 293
Ben Sooter
Director of R&D, EPRI
Electric Power Research Institute (EPRI)
Episode: Powering the AI Inference Wave with EPRI's Ben Sooter - Ep. 292

Host

Noah Kravitz
Host of NVIDIA AI Podcast; long-time technology journalist and interviewer focused on AI hardware/software trends and enterprise impact

Reviews

4.5 out of 5 stars from 771 ratings
  • Fake.

    Booooooooringgggg.

    Apple Podcasts
    1
    3@m.r3frig3r@t0r.r@id
    United States8 months ago
  • Great applicable information

    I found this podcast as I began using AI at work. This is one of my favorite podcast, broadening my limited knowledge of usage and how the sky is the limit.

    Apple Podcasts
    5
    EngineStu
    United Statesa year ago
  • Ep. 263

    The Alembic interview with Tomas Puig is gold

    Apple Podcasts
    5
    6F9BFE148173
    United Statesa year ago
  • Episode 259 Robotics

    This was a very interesting episode and robotics is a large part of our future. The problem is Americans are sedentary enough as it is and the simple acts of laundry and dish washing help get people moving. Are the robots going to go to the gym and do our workout’s for us as well? Keep moving!

    Apple Podcasts
    5
    TJeffy
    United Statesa year ago
  • NVIDIA Presentations

    Each and every time I visit the site I’m amazed at how’s fast technology has advanced and how deeply integrated it’s getting into our life’s.

    Apple Podcasts
    5
    Cardinals*1
    United Statesa year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

A few reviews mention pacing or interviewer style, but overall consistently positive
High-quality technical depth that translates well into business impact
Strong guest lineup with industry-leading experts in AI and infrastructure
Clear, insightful interviews with practical takeaways for practitioners

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#65
United States/Technology
Apple Podcasts
#142
Canada/Technology
Apple Podcasts
#147
United Kingdom/Technology
Apple Podcasts
#24
Italy/Technology
Apple Podcasts
#61
Australia/Technology
Apple Podcasts
#138
Germany/Technology

Talking Points

Recent interactions between the hosts and their guests.

Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299
Q: What should business leaders do to monetize token outputs?
Think about monetization by pricing tokens based on cost to produce and token utility, guided by demand distribution. Consider value-based pricing and explore adding value through customers' own AI-native or AI-enhanced products, while also looking at internal efficiency improvements.
Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299
Q: How do you forecast demand and decide how many tokens you will need per use case?
Start with a base forecast from user count and session/tokens per interaction, then apply multipliers for reasoning, agentic workflows, cache hits, demand variability, and user growth to achieve a higher accuracy forecast in token demand.
Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299
Q: And we're here to talk about tokenomics. How do you think about token value and the two key factors that you mentioned?
Token value is driven by the intelligence embedded in the token and how fast it arrives; higher model complexity and longer context generally increase token value, but context must be balanced with use-case requirements. The interactivity and per-token generation rate also shape demand and practicality for different applications.
Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298
Q: Why Spark Rapids and how did the integration impact your stack?
Spark Rapids delivered significant speedups with zero code changes, fitting cleanly with Dataproc on Google Cloud, which allowed us to benchmark and migrate workloads like joins, unions, and aggregations efficiently while preserving existing job definitions.
Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298
Q: What does accelerating data processing mean at Snap, given the scale?
It means reducing reliance on adding CPU nodes by leveraging GPUs to run workloads faster and more cost-effectively, achieving near-linear or sublinear scaling, and delivering experimentation results to developers, product managers, and data scientists on a tight SLA.

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Frequently Asked Questions About NVIDIA AI Podcast

What is NVIDIA AI Podcast about and what kind of topics does it cover?

A deep-docus of practical AI, infrastructure, and enterprise tech strategies driven by high-profile guests from industry and academia. Episodes routinely explore token economics, GPU-accelerated data platforms, industrial AI workflows, robotics, quantum computing, and AI factories for large organizations, with clear takeaways on deployment, cost, governance, and measurable business impact. Noteworthy aspects include hands-on case studies, concrete benchmarks, and cross-company collaboration angles that illuminate how big enterprises scale AI responsibly. This show is likely to appeal to technology leaders, engineers, and product teams evaluating AI-ready architectures, governance, and partnerships.

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Which podcasts are similar to NVIDIA AI Podcast?

These podcasts share a similar audience with NVIDIA AI Podcast:

1. Practical AI
2. This Day in AI Podcast
3. The AI Daily Brief: Artificial Intelligence News and Analysis
4. AI Hustle: Make Money with AI
5. A Beginner's Guide to AI

How many episodes of NVIDIA AI Podcast are there?

NVIDIA AI Podcast launched 9 years ago and published 304 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on NVIDIA AI Podcast?

Recent guests on NVIDIA AI Podcast include:

1. Shruti Koparkar
2. Prudhvi Vatala
3. Nicolas Soezier
4. Deepak Pathak
5. Abhinav Gupta
6. Nic Harrigan
7. Chris Wright
8. Justin Boitano

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