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
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.
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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