Booking Overview

The NVIDIA AI Podcast spotlights how leading AI research and engineering teams are turning new tech into real-world systems—often with practical enterprise and deployment angles. It’s a strong fit for PR pitches from executives, researchers, and product leaders working on AI infrastructure, robotics, and applied scientific/industrial AI.

Metrics

Episodes: 303

Frequency: Irregular

Rating: 4.5/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 2.0M subscribers

Instagram: 3.0M followers

30s Ad: 231 - 286, 60s Ad: 277 - 333

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Senior leadership (CEO/Co-founder, President, VP) or prominent technical founders/research leaders in applied AI, robotics, AI agents, and enterprise or industrial AI platforms; ideally with demonstrable deployments/use cases and/or major product/research frameworks.
Required Achievements:  
Founded or leads an AI/robotics company or key AI platform, Built widely adopted developer infrastructure (e.g., agent frameworks/tools) or enterprise platforms, Published/led major technical innovations (world models, agent architectures, robotics general-purpose models), Demonstrated real-world deployments in industry, including manufacturing/engineering/simulation workflows

Recent Guest Discussions

Harrison Chase - Deep Agents Architecture, Deploying Autonomous Agents Responsibly In The Enterprise, Langsmith Observability/evaluation-driven Development, Multi-model/multi-agent Patterns.

Nicolas Cerisier - AI That Understands Physics/engineering (industrial World Models), Virtual Companions (aura, LEO, Marie), Long-running NVIDIA Collaboration, And Aircraft Design Use Case.

Abhinav Gupta - Skild Brain Architecture And Purpose-built Approach For Universal Robot Intelligence.

Deepak Pathak - Skild Brain And General-purpose AI For Robotics Across Form Factors And Tasks; Shared Intelligence For Different Robots.

Recent Topics

Artificial Intelligence, Robotics, Machine Learning, Ai Agents, Enterprise Ai, Computer Vision, Scientific Ai, Simulation, Industrial Ai, Sustainability

Episodes

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

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...

Harrison Chase of LangChain on Deep Agents, LangSmith, and Earning Trust | NVIDIA AI Podcast Ep. 297

May 06, 2026

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. 🔬Topic...

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