Draft:Kaisar Network
Submission declined on 29 December 2024 by KylieTastic (talk).
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Kaisar[1] is a decentralized GPU network designed to provide unlimited computing power to machine learning (ML) and AI applications.
Our mission is to make computing scalable, accessible, and efficient by leveraging underutilized GPU resources from independent data centers, crypto miners, and consumer households. We aim to assemble over a million GPUs from these diverse sources to create a robust and decentralized computing infrastructure.
Kaisar Network architecture ensures seamless interaction between different components, maintaining high system performance, while providing a secure and transparent mechanism for utilizing and maintaining GPU computing resources.
Exponential Change in Spending and Compute Requirements
[edit]According to GlobalTechCouncil, global spending on AI-centric systems is forecast to reach $154 billion in 2023 and is expected to continue growing rapidly, driven by increasing investments in AI by various industries such as banking, retail, and professional services.
Key areas of AI hardware spending include GPUs, TPUs, and custom AI chips. The broader IT spending landscape also highlights significant growth in data center systems, with spending projected to increase from $237 billion in 2023 to $260 billion in 2024. This growth is part of a broader trend of increasing investment in software, IT services, and communications services driven by the adoption of AI and other emerging technologies (Source: Splunk).
To gain insights into projected hardware use by AI Systems, Stanford AI Index Report 2024) highlights the economic impact of AI, showing a significant increase in the use of training compute for notable machine learning models.
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