CUDOS Solution to Decentralized AI and Computing

The progress of large-scale language models in the past few years has escalated the use of AI tools and technologies in nearly all facets of existence spurring growth in different areas. How even with its present incapability of performing specific tasks, AI is changing the way things such as content creation and even the most boring errands are done is clearly showing the need for this technology. Due to the improved processing capability, AI is able to change the course of real-life applications to levels never seen before. Historically, the development of AI technologies has been confined to a few infrastructure-heavy organizations in which power is centralized but today a new paradigm in which power is decentralized possess the potential to transform AI for years to come.

This article will discuss the shortcomings of decentralized AI and relevant solutions, while recognizing its importance and impact on the upcoming years.

1. Scalability Issues

PROBLEM: Scalability – decentralized AI biggest challenge. As more data and processes are distributed over many nodes, they’d be an increase in the size of the network, latency problems and performance degradation may follow. Therefore, communication and coordination between these nodes is critical for a seamless and effective operation of the system.

CUDOS’ Solution: CUDOS provides scalable solutions that isn’t dependent on a single provider. It's recent collaboration with ASI has strong potential to accelerate product development across the Alliance and boost the utility of the unified Artificial Superintelligence Alliance token (FET) as the Alliance advances toward Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI).

2. High Cost of Infrastructure

PROBLEM: Implementing Decentralized AI involves a complex architecture and multi-layered systems hence many distributed systems contribute to high expenditure. For instance high rent CPUs like Amazon AWS where services such as NVIDIA H100 GPU may be traditionally expensive rental costs.

CUDOS’ Solution: CUDOS enables the use of advanced AI infrastructure including NVIDIA H100 GPUs at half the price of Amazon AWS, thereby enhancing the efficacy of Fetch.ai and SingularityNET’s US$ 153 million hardware expenditure. Harnessing the power of a network of existing independent suppliers.

CUDOS has successfully been integrated into the Artificial Superintelligence (ASI) Alliance. This progress marks a significant leap forward in our mission to commercialize AI.

Join the Revolution

www.cudos.org

www.intercloud.cudos.org

superintelligence.io

REFERENCES:

https://www.cudos.org/blog/artificial-superintelligence-alliance-proposes-addition-of-cloud-compute

https://cointelegraph.com/news/the-crucial-role-of-decentralization-in-shaping-ai-s-future