GPU-IP
Empowering Decentralized Computing: Share GPUs, Unleash Potential.
Created on 13th January 2024
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GPU-IP
Empowering Decentralized Computing: Share GPUs, Unleash Potential.
The problem GPU-IP solves
Cost-Efficient Computing
- Pay-as-you-go model reduces upfront costs.
- Access high-performance GPUs without ownership commitments.
Innovation Accelerator:
- Empowers developers and researchers with on-demand GPU resources.
- Accelerates tasks like AI, machine learning, and rendering.
Decentralized Security:
- Utilizes blockchain for transparent and secure transactions.
- Minimizes risks associated with central points of failure.
Collaborative Efficiency:
- Allows concurrent GPU usage for collaborative projects.
- Fosters teamwork and innovation within communities.
Sustainable Computing:
- Reduces electronic waste by optimizing GPU utilization.
- Promotes eco-friendly practices in computational resource management.
Challenges we ran into
Concurrency and Synchronization:
Challenge: Ensuring that multiple users can concurrently allocate and deallocate GPUs without conflicts.
Solution: Implement robust locking mechanisms or explore state channels to manage concurrent transactions efficiently.
Problems with JuiceLabs:
Challenge: Juice was not cooperating and posed many problems
Solution: We were persistent and finally solved all the issues.
Tracks Applied (3)
Ethereum Track
Polygon
Ethereum + Polygon Track
Polygon
Open Track
Discussion
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