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Akash Network Explains Its Use for AI Model Training


Overclock Labs, the force behind Akash Network, teamed up with ThumperAI, a generative AI startup, to embark on a foundational model training endeavor utilizing Akash Network’s GPUs.

This collaboration, taking place towards the end of 2023, aimed to push the boundaries of decentralized cloud computing by training a foundation model, highlighting a significant leap in AI and cloud computing integration.

Using Akash Network to Train AI

The initiative sought to address the challenges associated with generative AI foundation model training. These include high costs, stringent hardware requirements, and complex software needs. Therefore, it set an ambitious benchmark for decentralized computing platforms to meet and exceed the demands of AI startups.

ThumperAI aimed to bolster the credibility of its Lora Trainer service. It facilitates AI developers in fine-tuning foundation models using LoRA techniques. On the other hand, Akash Network wanted to demonstrate the feasibility and efficiency of AI model training on a decentralized cloud platform.

This initiative was not just about proving a concept but also about attracting a broader developer community, generating demand for GPU providers, and strengthening Akash Network’s position as a leader in open-source contributions and AI use case expansion.

The outcomes of this project were promising despite the challenges encountered with the training dataset’s quality and diversity. The collaboration successfully demonstrated the feasibility of training foundational models on a decentralized network like Akash. Therefore, it marked a milestone in the intersection of AI and blockchain technology.

“The Thumper team will look into migrating Lora Trainer to run on Akash Network as they look to scale that service, so as to take advantage of the lower costs and variety of GPUs available on the network. One of the features needed before they can do this is the ability to request a max SHM size through the Akash SDL. That feature is about to be made available on the network through an upgrade,” VP of Product and Engineering at Overclock Labs, Anil Murty, wrote.

This initiative sets the stage for future advancements, with both teams keen on exploring further possibilities on Akash Network.

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Conclusion

In conclusion, the collaboration between Overclock Labs and ThumperAI to train a foundational model using Akash Network’s GPUs represents a significant advancement in the field of decentralized cloud computing and AI integration. By addressing challenges such as high costs, stringent hardware requirements, and complex software needs, this initiative demonstrated the feasibility and efficiency of training foundational models on a decentralized network. The successful outcome of this project paves the way for future advancements in AI and blockchain technology, attracting a broader developer community, generating demand for GPU providers, and solidifying Akash Network’s position as a leader in open-source contributions and AI use case expansion. This collaboration sets the stage for further exploration of possibilities on Akash Network in the future.

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