Democratizing Access to AI: Breaking Down Barriers with Aethir

How Aethir is making the power of AI accessible to everyone, from startups to enterprises

The AI revolution is changing almost every industry, from entertainment, transportation, and finance. The AI market has grown beyond 184 billion U.S. dollars in 2024 and is expected to hit 826 billion U.S. dollars in 2030. 

However, the high cost and complexity of GPU computing are creating an "AI wealth gap." Big tech companies with vast resources have a significant advantage and are racing ahead, while smaller players, startups, and researchers struggle to compete. Suppose the current disparity in AI development remains unchecked. In that case, the power to create AI  that suits everyday society will be concentrated in the hands of a few big tech companies, stifling innovation and raising concerns about the future of AI development.

Aethir is on a mission to democratize access to AI by making GPU computing more affordable, accessible, and efficient. Aethir utilizes the collective power of a distributed network of

GPUs to reduce the cost and time associated with AI development. 

The AI Wealth Gap

New AI projects and solutions are often released, and existing products are also being fine-tuned and updated to serve the masses better. There is a problem, though, as most of these products are created by tech companies with the right resources and financial muscles. This concentration of resources has created a stark divide, the AI wealth gap, where the "GPU rich" dictate the terms of AI development, while the "GPU poor" struggle to compete.

The consequences of this gap are far-reaching. Startups and researchers with groundbreaking ideas are often hindered by the lack of affordable computing power. The high cost of renting GPUs from cloud providers can be prohibitive, forcing them to compromise on the scale and ambition of their projects. It is estimated that OpenAI spent 6 or 7 figures to train the model. Unfortunately, due to resource constraints, most individuals and startups can’t afford the necessary computing power to compete. We can now see governments, big tech companies and other players with financial muscles spending tens of billions to secure enough chips in the AI race.  

Aethir's Solution: Decentralized GPU Computing

Aethir’s Decentralized physical infrastructure network, or DePIN, aggregates underutilized GPUs from various sources, creating a shared pool of computing power. The company offers on-demand computing to small AI companies, allowing them to develop innovative AI solutions. The decentralized approach provides a scalable model, as users can add or remove GPU power as needed. 

Aethir aggregates enterprise-grade GPU chips to create a global network that provides on-demand cloud computing resources for virtualized computing, gaming, and AI sectors. This approach reduces costs, increases accessibility, and promotes a more equitable distribution of AI resources.

Aethir offers various service models to serve different customers:

• Infrastructure as a Service (IaaS): It is a pay-as-you-use model that offers virtualized GPU instances. Users can scale upwards or downwards, depending on their needs. 
• Platform as a Service (Paas): A comprehensive suite of services and tools for developing, testing and deploying GPU-accelerated applications. This set of tools reduces the time needed to develop and market machine learning and AI projects. 
• Bare Metal: This package suits users who want complete control of their training models. Bare metals are ideal for large-scale simulations and high-performance computing. 

Breaking Down Barriers to AI Adoption

Cost Reduction

Centralized data centers incur significant overheads and ultimately pass the cost on to consumers. The demand for computing resources has also been rising, pushing prices up further and ultimately affecting small companies and individuals who want to build AI solutions. 

Aethir's model significantly lowers the cost of GPU computing by as much as 80%. It does not carry the overheads that cloud providers do, and it does not need to operate data centers. Aethir also allows enterprise GPU owners with underutilized resources to rent their compute resources through its engine. 

Simplified Workflows

Aethir's platform streamlines the process of accessing and utilizing GPU resources, reducing complexity and accelerating AI development. It has five core components: resource owners, Aethir Network, compute buyers, treasury and settlement layer. 

• Resource owners provide GPUs for AI development and gaming.
• Aethir Network facilitates matching based on end users' needs, and houses compute resources.
• Compute buyers consume compute resources on demand.
• Treasury takes care of protocol fees and the ATH token.
• Settlement layer where Aethir uses blockchain technology to record transactions and pay compute/ resource providers.  

Use Cases: Empowering Diverse Applications

AI Model Training and Inferencing

The current AI models can do so much more if they can scale up and perform AI inferencing in a timely manner. AI inferencing is a process where a trained model reasons and draws conclusions from data it has never seen. 

However, the AI model requires significantly low latency levels for this to happen. Aethir aggregates resources in specific geographic areas, offering low latency, unlike centralized servers in far-away data centers. It is this low-latency distributed cloud infrastructure that allowed a company like TensorOpera to train a 750-million parameter AI model for 30

consecutive days. 

Cloud Gaming

The cheapest gaming computers cost about $1000. Technology is ever-changing, and the gaming device you acquired five years ago may not suit today's games. Mobile gaming has also become the norm, but the devices are beyond the reach of common gamers. 

Aethir makes high-end gaming accessible through cloud gaming. Users do not have to buy expensive gaming devices as they can enjoy Aeithir’s low-latency infrastructure to play the games they like on regular devices. 

Xsolla is an example of a company using Aethir’s decentralized network to power its cloud gaming platform. Its pay-as-you-go model makes the games affordable and easy to reach a wider audience. 

AI Productization

The future of work may soon include AI-powered virtual agents that seamlessly contribute to meetings, communication channels, and project management tools. However, the development and deployment of such agents require low-latency, real-time rendering capabilities that many current AI models lack. The decentralized nature of Aethir’s infrastructure offers low latency and real-time rendering to create and power such agents. 

The Future of AI: Collaborative and Inclusive

Aethir is committed to democratizing access to AI by breaking down the barriers that have limited its potential. Through its decentralized GPU computing platform, Aethir is empowering individuals and organizations to harness the power of AI and drive innovation across various industries. The future of AI is collaborative and inclusive, and Aethir is leading the way.

Join the Aethir community and be a part of the AI revolution! Visit our website or follow us on social media to learn more.