The AI Data Engine Behind 8M Devices & Petabytes of Web Data

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DePINed podcast

Fluence

73 episodes

1 week ago

DePINed is a podcast focused on the ecosystem of decentralized physical networks. DePIN companies and protocols crowdsource infrastructure such as WiFi hot spots, computer servers and even cars and, using crypto incentives, create cohesive, global networks from thousands of different providers. This podcast explores all of the use cases launching in this sector as well as the key players in financing and explaining this growing sector which will reshape a broad array of industries. Hosted by Tom Trowbridge, co-founder of Fluence, previously co-founder and president at Hedera Hashgraph.

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The AI Data Engine Behind 8M Devices & Petabytes of Web Data | Andrej Radonjic, Grass (#68)

DePINed podcast

57 minutes 25 seconds

1 month ago

The AI Data Engine Behind 8M Devices & Petabytes of Web Data | Andrej Radonjic, Grass (#68)

Explore how Grass became one of the most important data engines powering today’s AI models!

In this episode, Tom Trowbridge (co-founder & CEO of Fluence) interviews Andrej Radonjic, Founder & CEO of Winged Labs — the team behind the Grass Network, a DePIN system with 8M+ residential devices contributing bandwidth and enabling petabytes of real-world web data for the world’s leading AI labs.

This conversation dives deep into:

- How Grass built the largest AI-focused DePIN network in the world

- Why AI companies need massive, multimodal datasets (especially video)

- How Grass handles hundreds of petabytes of data and pushes 4 PB/day at peak

- The hidden world of residential proxy networks — and why Grass chose the ethical path

- Why blockchain and tokenized network ownership are essential for scaling

- Forced verticalization: building their own storage, servers, GPUs, and infra

- The future of AI: Live Context Retrieval and real-time access to the entire public web

- Token holders, incentives, and the economics behind a global data network

🎙️ Grass is enabling AI models to see the real world in real time. If you want to understand the data layer behind the next generation of AI, this episode is essential.