NVIDIA AI Podcast

aipodcast@nvidia.com

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Booking Overview

A technology-focused show from NVIDIA that highlights how AI is moving from research to real-world deployment—covering robotics, data infrastructure, and business strategy. It’s a strong platform for companies and executives with credible technical stories tied to NVIDIA platforms, sustainability, or large-scale AI implementation.

Metrics

Episodes: 304

Frequency: Weekly

Rating: 4.5/5.0

Estimated listeners: 1k-10k

Gender skew: Neutral

Location: USA

YouTube: 2.0M subscribers

Instagram: 3.0M followers

Contact Information

aipodcast@nvidia.com

For verified host and producer emails, sign up to view.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Technical executives and engineering leaders (e.g., CEOs/Heads of Robotics/Head of Engineering Platforms) or senior NVIDIA team members who can speak credibly about deploying AI systems on NVIDIA hardware/software stacks at meaningful scale.
Required Achievements:  
Leading teams shipping or scaling production AI/robotics or data platforms, Demonstrating measurable performance/cost/speed outcomes, Contributing to or adopting open-source frameworks and NVIDIA platform integrations, Operating at large user scales (e.g., major consumer platforms) or driving enterprise infrastructure changes

Recent Guest Discussions

Elaine Wu - Open Hardware Robotics At Scale, Openclaw Agentic Framework, Training/controlling Robot Arms With Language Commands, Simulation-to-reality Workflows

Eric Pan - Open Source Embodied Robotics, Agentic Frameworks For Robot Arms, NVIDIA Isaac Sim/digital Twins, Responsible Deployment Of Physical AI

Shruti Koparkar - AI Tokenomics Framework, Token Utility/supply/demand/monetization, Measuring Infrastructure ROI With Cost Per Token

Prudhvi Vatala - Gpu-accelerated Apache Spark On Google Cloud, Experimentation Infrastructure At Scale, Cudf Plugin Performance Results, Privacy/safety Considerations

Recent Topics

Artificial Intelligence, Robotics, Edge Ai, Data Engineering, Cloud Computing

Episodes

Here's the recent few episodes on
NVIDIA AI Podcast
:

Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300

May 27, 2026

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. 🔬T...

Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299

May 21, 2026

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 pill...

Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298

May 13, 2026

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—usi...

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