NuNet (NTX) is a token of a computing structure with globally distributed computing power and data storage for decentralized networks. The goal of the project is to connect the owners of data/computing resources with computing processes.

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The utilization of Graphics Processing Units (GPUs) has significantly enhanced the speed and efficiency of machine learning and deep learning applications. Docker containers, developed in a programming language called Go, are becoming more and more favored for guaranteeing the reproducibility ...

Extending GPU Container Support to AMD and Intel: A Developer Approach for Decentralized Scaling

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The #NuNet team has just published a research paper 'Extending #GPU Container Support to AMD and Intel: A Developer Approach for Decentralized Scaling' 

This research was done in preparation for our #ProjectCatalyst Fund10 Proposal Decentralized GPU Clusters – Research & PoC bit.ly/3JSwR6M

💡 GPUs have enhanced the speed and efficiency of Machine Learning & deep learning applications

👉🏻 Docker containers are becoming more and more favored for guaranteeing the reproducibility & scalability of these applications. 

🤔 Docker's built-in GPU compatibility is restricted to #Nvidia GPUs, creating an obstacle to leveraging #AMD and Intel GPUs

💡In this paper, #NuNet introduces an innovative method, employing Go, to expand Docker's #GPU compatibility to include #AMD and #Intel GPUs. 

✅ This approach offers a vendor-neutral solution at the development level

📚 https://www.researchsquare.com/article/rs-3153090/v1