Eye On A.I.
#243 Greg Osuri: Why the Future of AI Depends on Decentralized Cloud Platforms
Mar 18, 2025
Greg Osuri, founder of Akash Network, discusses the transformative power of decentralized cloud computing. He explains how his platform disrupts traditional giants like AWS by unlocking underutilized compute power and slashing costs. The conversation highlights the energy bottlenecks faced in AI training and the pivotal role of blockchain in securing cloud resources. Osuri envisions a future where AI thrives in decentralized infrastructures, ensuring data privacy and fostering a vibrant, community-driven tech ecosystem.
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Quick takeaways
- Decentralized cloud platforms like Akash Network address the energy bottleneck in AI training by optimizing underutilized compute resources globally.
- The shift from centralized to decentralized models fosters community-driven ecosystems that enable collaboration and innovation among developers and users.
Deep dives
Challenges in AI Training
AI training faces significant challenges primarily related to data availability and energy consumption. Data scarcity limits the capacity for training robust models, although synthetic data has emerged as a potential solution. In contrast, the energy problem remains unresolved, with predictions indicating that the demand for energy will reach a critical limit in the near future. This situation underscores the importance of adopting distributed training approaches as opposed to the traditional centralized methods in order to efficiently scale AI training efforts.
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