Building Web3 Podcast brings you insightful interviews with visionary founders, technical experts, and thought leaders. It showcases the latest in cutting-edge Web3 projects and their vast opportunities. Whether you're a developer, investor, or enthusiast, our conversations will guide you to success in the decentralized future.
*Building Web3 Podcast's content is strictly educational and is not investment advice or a solicitation to buy or sell assets or make financial decisions.*
Building Web3 Podcast brings you insightful interviews with visionary founders, technical experts, and thought leaders. It showcases the latest in cutting-edge Web3 projects and their vast opportunities. Whether you're a developer, investor, or enthusiast, our conversations will guide you to success in the decentralized future.
*Building Web3 Podcast's content is strictly educational and is not investment advice or a solicitation to buy or sell assets or make financial decisions.*
In this episode of Building Web3, we explore the rapidly evolving landscape of decentralized AI (dAI), Web3-native computing, and GPU resource sharing with the co-founder of Spheron Network.
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As AI models become increasingly complex and expensive to run, decentralized networks like Spheron are stepping in to provide cost-effective, censorship-resistant, and scalable compute solutions. We discuss how Spheron’s programmable compute technology is unlocking new opportunities for Web3 developers, researchers, and AI engineers—allowing them to access distributed GPU power at a fraction of the cost of traditional cloud services like AWS and Google Cloud.
Chapters
00:00 - Introduction and Guest Introduction
00:30 - Disclaimer and Purpose of the Discussion
01:00 - What is Spheron Network?
02:45 - Why Build on Web3 Instead of AWS or Google Cloud?
03:15 - How Spheron Enables Decentralized AI (dAI)
04:30 - OpenLedger’s Open LoRA and GPU Model Switching
05:00 - The Future of AI Agents and Infrastructure Automation
06:30 - Closing Thoughts and Final Takeaways
Topics Covered
Why build on Web3 instead of traditional cloud services.
How Spheron enables decentralized AI computing.
The benefits of permissionless, peer-to-peer GPU leasing.
How OpenLedger’s Open LoRA enhances GPU model switching.
The role of AI agents in managing infrastructure.
How Web3 developers can leverage Spheron’s technology.
Biggest Web3 startup opportunities today.
Key Takeaways
Spheron’s vision for decentralized compute and GPU leasing.
Web3 vs. Web2 cloud services (AWS, Google Cloud, Azure).
Decentralized AI and its role in disrupting traditional compute.
How AI agents will automate trading, research, and development.
Infrastructure for AI models and scaling access to powerful GPUs.
The future of Web3-native infrastructure and compute marketplaces.
How Spheron is enabling permissionless AI and compute.
Web3 startup ideas: AI agent management, decentralized DevOps, and more.
Why This Matters
As AI becomes an essential part of finance, research, trading, and automation, the need for affordable, scalable, and decentralized compute power is growing rapidly. Spheron Network is bridging the gap between AI researchers, blockchain developers, and decentralized compute providers, bringing the power of distributed computing to Web3.
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Disclaimer: Nothing said on Building Web3 is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Jax, and our guests may hold positions in the companies, funds, or projects discussed.
