From Benchwarmers to Power Players How DEKUBE’s Massive Network of Idle GPUs is Fueling AI Innovation

The world of artificial intelligence (AI) is experiencing massive growth. Artificial intelligence has been taken to a new level by big language models (LLMs) such as Llama2 70B and the soon-to-be-released Grok 314B. These models require massive parameter counts, and hundreds or even thousands of high-end GPUs (such as H100, and A100), with which the training cost of GPT-4 nears $100 million. It costs a lot to train these behemoths since they need immense computational resources, which usually translates into hundreds of expensive GPUs and a large bill which makes it nearly monopolized by giants.

That’s where DEKUBE comes in with its innovative approach that turns your unused GPU –a hidden resource– into an asset contributing immensely towards AI’s future.

Untapped Potential for Building the World’s Largest AI Training Network

DEKUBE plans to create the largest AI training network globally, but their secret weapon isn’t high-end hardware; it’s leveraging the enormous number of underused computer processors sitting idle all over the globe. Just picture your PC’s graphics card, frequently wasted on browsing or light tasks, with DEKUBE’s innovative solution, this fragmented computing power becomes a part of an extensive distributed network designed specifically for training advanced LLMs.

By maximising data communication, the transmission of LLM algorithms, datasets and training procedures, DEKUBE taps into the true potential of this unused resource.

DEKUBE’s success stories speak for themselves as they have already played a role in training Llama2 70B and the Grok 314B which is even bigger is on its way.

From Scattered Resources to a Unified Force

The size of the network alone gives it an edge. DEKUBE can outgrow conventional centralised AI training infrastructures by employing millions of separate GPUs at once. We have developed this P2P network, an industry-leading high-speed decentralized and secure public chain with high efficiency

Again this brings down the cost per model but also opens up doors for smaller developers and researchers who were previously locked out due to lack of access to such huge computational resources with a flexible and powerful platform for container orchestration, resource management, and task scheduling, supporting large-scale distributed AI training.

The Genesis Points Campaign is LIVE

DEKUBE’s innovative ecosystem centers around the GPU mining event, which offers GPU owners a unique opportunity to contribute their computing power to AI model training while earning DEKUBE points. The Genesis Points program is now live. Participants can connect their GPUs through a user-friendly interface, contributing to a distributed network that powers the training of advanced AI models like Llama2 and Llama3. The Genesis Points earned during this phase are crucial for gaining entry into the upcoming Testnet. Early involvement provides participants with a unique chance to shape the development of DEKUBE technologies and ensures that early adopters have a stake in DEKUBE’s evolving ecosystem.

Industry Recognition and Backing for a Brighter Future

There has been significant attention and investment in DEKUBE’s groundbreaking approach by leading figures in the AI sector. The latest $20m funding round was supported by several well-known AI entrepreneurs and prominent miners, underscoring the huge potential behind the project and industry leaders’ faith in its power to change AI development forever on the blockchain by providing a transparent and fair solution.

Be a Part of the Future of AI

It is about more than having a powerful network as DEKUBE sees it. It’s about the need to democratise AI development and make it possible for anyone to access. By connecting your unused GPU to the DEKUBE network, you can be part of this exciting journey and get rewarded while also helping shape the future of AI.

DEKUBE represents what can be achieved when people pool resources together effectively. By making inactive GPUs active contributors, DEKUBE is leading towards a more accessible, efficient and cost-effective future for AI innovation.

• Website: https://dekube.ai/

• Twitter: https://twitter.com/dekube_official

• GitHub: https://dekube.gitbook.io/litepaper