-
Project Definition and Research
▼
Identified the core requirements for decentralized GPU computing and established key project goals, laying the groundwork for a robust and scalable solution.
-
Core Infrastructure and Algorithm Development
▼
Designed, developed, and optimized the algorithms necessary for parallel GPU task execution and efficient resource allocation, ensuring seamless scalability and high-performance computing.
-
Initial Version of the Provider Application
▼
Created and tested the first iteration of the Provider App, allowing GPU providers to seamlessly connect to the network, contribute their resources, and engage with the decentralized ecosystem.
-
Initial Version of the Provider Application
▼
Created and tested the first iteration of the Provider App, allowing GPU providers to seamlessly connect to the network, contribute their resources, and engage with the decentralized ecosystem.
-
Community and Brand Building
▼
Established a strong project identity to support long-term growth and adoption.
-
Closed Beta Testing for the Provider App
▼
Conducted limited beta tests with select providers to gather in-depth performance feedback, refine application features, and address any issues before a broader rollout.
-
Distributed Container Testing
▼
Performed extensive tests on distributed container solutions to ensure robust parallel computing capabilities and efficient resource utilization.
-
Network and P2P Studies
▼
Carried out network and peer-to-peer (P2P) connectivity research to enhance the stability, scalability, and efficiency of decentralized data transmission within the GPUBase Network.