DecentralGPT – Introducing Blockchain’s Decentralised AI

The global artificial intelligence (AI) industry is expected to enjoy remarkable growth in the next six years, before peaking at nearly $900 billion in 2030.

While blockchain underpins a much smaller market overall, it’s growing at an even faster rate than AI, with a CAGR of 68% being forecast between now and 2032. 

Of course, blockchain has also impacted a wider number of industries and applications so far, with cryptocurrency now accepted online and through sites such as https://www.1win.codes/en/mirrors/. 

It can be argued that AI and blockchain are diametrically opposed at their core, as while the former is controlled by centralised enterprises, the latter is completely decentralised and removed from third-party regulation. However, we’ve now seen some crossover between the two technologies, in the form of blockchain new decentralised AI.

What is DecentralGPT?

If you look at basic AI products such as ChatGPT, they all tend to work in a similar way to one another. They leverage AI to understand and generate content, while also performing complex and time-consuming tasks like debugging code and editing published copy.

ChatGPT has already amassed 180.5 million monthly users since its launch in 2022, with tools of this type relying on centralised data and computing functions. This has numerous connotations when it comes to safeguarding data, while the centralised governance that controls the AI market could lead to the formation of monopolies over time.

It’s such concerns that have inspired the development of ‘DecentralGPT’. This leverages blockchain’s unique capabilities to create a decentralised AI inference network, which can underpin concepts such as machine learning without relying on a centralised governance.

In fact, DecentralGPT is an AI large-scale language mode (LLM) inference network, which supports numerous LLM models that vary in terms of their price, speed and available levels of safety. 

How is this Software Different from ChatGPT?

Ultimately, the core difference between this software and ChatGPT is that it leverages decentralised GPU providers as infrastructure. As a result, it’s accelerating AI development through blockchain, which could be key to the technology’s evolution in the future.

Another striking difference is the cost advantage in GPU computing power. Typically, idle GPUs can join the DecentralGPT network, maximising resources at all times while simultaneously minimising costs. 

Interestingly, DecentralGPT does not have a centralised system to develop models itself. Instead, it unlocks open source opportunities for competing model developers, who can focus solely on technology and development and potentially explore exciting new applications/

Ultimately, the decentralised nature of DecentralGPT creates an AI platform that’s more accessible than its rivals. After all, this means that interface simply cannot be blocked by a third party, so any individual or organisation can leverage the technology to develop their apps, content or projects.

This represents a huge advancement in AI technology, with blockchain once again creating a more even playing field for developers and content creators alike.