Aethir Is Driving DePIN AI Innovation
May 20, 2024

Aethir Is Driving DePIN AI Innovation


The global AI technologies market had a $200 billion valuation in 2023, with a 2030 estimate of a staggering $740 billion. The Machine Learning (ML) sector makes up the bulk of the AI industry, with generative AI applications being a leading use case. While AI has existed for some time, its global expansion kicked off during the last few years. The launch of ChatGPT in late 2022 ushered in a new era of AI development, with Web 3.0 functionality at its core. 

Thanks to its distributed nature and blockchain versatility, the DePIN sector is becoming an irreplaceable ally of AI computing. Aethir's role in DePIN AI innovation is essential because Aethir is building the world's largest GPU decentralized cloud infrastructure network.

All forms of AI computing rely on vast volumes of raw GPU power for processing. AI enterprises can obtain GPU power either by operating their own GPUs or by hiring a cloud computing alternative. On the other hand, cloud computing has historically been dominated by centralized service providers and big-tech companies. However, these services can find it challenging to accommodate the rapidly growing AI industry, which depends heavily on GPUs.

By leveraging edge computing architecture to maximize GPU power reach and minimize latency, the impact of Aethir on DePIN AI technology is set to explode in the near future. This wouldn't be possible without distributing GPU cloud resources globally in a decentralized manner. 

Let's learn more about Aethir's role in DePIN AI innovation and the close connection between Aethir and the development of DePIN AI.

The Growing Force of AI

The AI sector was worth just over $100 billion in 2020, but estimates show that by the end of 2024, it will cross the $300 billion mark. That's a threefold increase in four years, making AI one of the fastest-growing sectors in the overall IT industry. The revolutionary use of machine learning and large language models (LLM) in computing has opened the door to a wide range of possibilities.

Instead of manual data processing and limited computing automation possibilities, AI data scientists and developers went far beyond. Generative AI platforms can process data sets incomparably faster than traditional computing. Also, they can become creative thanks to machine learning and deep learning algorithms that allow AI to develop through practice. 

Since 2020, the complexity of AI language models has grown up to 10 times per year. Leading LLMs like GPT-4 encompass over one trillion computing parameters. The sheer number of parameters in modern AI language models gives users access to unprecedented generative AI capabilities. 

While chatbots like ChatGPT are the most commonly mentioned AI use case, generative AI is much more. Platforms that allow designers, video makers, and other content creators to generate top-quality content based on simple prompts all use machine learning algorithms. The same goes for advanced programming algorithms that depend on machine learning.

The number of AI platforms and services that leverage some form of AI is growing exponentially. Around 35% of enterprises already use some form of AI, while as many as 72% of executives agree that AI will become a must for businesses in the near future. Furthermore, approximately 77% of physical devices use AI to some extent.

AI Needs GPU Power

GPU power is the life energy of the AI industry. The critical difference between CPUs and GPUs is the number of processing cores. Even high-end CPUs have a few hundred cores at best, while state-of-the-art GPUs have thousands of cores. The NVIDIA H100 is the best example of GPU superiority, with its 14,592 CUDA cores. The number of cores and their processing strength are vital to providing AI platforms with the juice they need.

Traditional cloud service providers amass GPUs in major data centers and streamline processing power to clients. This model was quite viable before the AI sector started rapidly growing in 2020. However, with the expansion of AI-based projects and enterprises, the need for GPU computing power is increasing on an unprecedented scale. 

For centralized cloud providers, this means they need to acquire fresh supplies of top-shelf GPUs regularly. Centralized clouds can't pool resources from idle GPUs.These companies provide each cloud user with a dedicated GPU for their needs. Whenever a user isn't utilizing 100% of their dedicated GPU, the remaining resources remain unused. Centralized cloud providers don't have the operating mechanics to pool unused GPU power.

At the same time, there is a significant shortage of GPU power for AI computing. The GPU industry can't keep up with production at the pace of the AI industry's expansion. For instance, OpenAI had to pause ChatGPT Plus subscriptions in late 2023 because of GPU supply shortage. The global AI industry is evolving so fast that there's a shortage of top-grade GPUs like NVIDIA's H100.

That's why a smarter and more efficient distribution of GPU computing is necessary. A decentralized cloud infrastructure can repurpose idle GPU power in real-time and channel it where it's most needed. 

Aethir DePIN AI Infrastructure

Decentralized cloud infrastructure networks like Aethir's distributed GPU cloud are key innovations that can help solve the GPU shortage in the AI sector. DePIN AI technology relies on decentralization to maximize the usage of idle GPU power. Individual users or local small- to medium-sized enterprise networks rarely use 100% of their GPU capacity. 

Imagine a company with 100 employees who each have their business computers and only use 30% of their GPU processing power during weekday office hours. That's an average of 40 hours per week, during which 70% of the GPU power remains idle. Not to mention that for the remaining 16 hours of each weekday, the idle GPU power is 100%, and during weekends, the GPUs remain unused for 48 hours. 

Even if those PCs have low to mid-range GPUs, their combined GPU power is still significant and could contribute to the daily operation of AI platforms. If we take into account that there are around 200,000 medium-sized businesses just in the US, the potential untapped GPU power in medium enterprises is astonishing. 

Centralized cloud services can't tap into this immense unused GPU power supply. They simply don't have the means to pool GPU computing resources from a loose network of partially idle GPUs. Aethir, on the other hand, is an innovator in DePIN AI advancements and specializes in decentralized GPU cloud computing. By leveraging decentralized cloud infrastructure, Aethir DePIN AI technology can provide AI and machine learning enterprises with GPU power from multiple sources by pooling unused resources.

How Does Aethir Contribute to AI Innovation?

With its decentralized cloud infrastructure, Aethir is at the forefront of DePIN AI advancements. Its focus is streamlining GPU power for enterprises engaged in large-scale AI projects. To do so, Aethir uses decentralization to connect thousands of resource pools called Containers with clients needing GPU power.

The machine learning and deep learning sector requires a rapidly increasing amount of GPU power. AI enterprises don't have a fixed GPU power need because AI is constantly evolving. With the training and launching of improved large language models and generative AI platforms, the needs of individual enterprises are also increasing. For traditional GPU clouds, this constant need for upscaling GPU services is a nightmare. AI clients may request rapid GPU capacity increases in a matter of weeks or even days to accommodate their users.

In a scenario where centralized clouds need to dedicate a certain number of additional top-grade GPUs to a client quickly, they can quickly run into a bottleneck. Aethir, on the other hand, can contribute to AI innovation in DePIN by utilizing distributed physical GPU resources to power AI platforms. 

Aethir's role in DePIN AI innovation is to connect AI enterprises with GPU Containers in real-time. If an enterprise needs to upscale its GPU computing, Aethir DePIN AI infrastructure can simply assign more Container resources to the client. There's no need to purchase additional GPUs as long as Aethir's decentralized cloud infrastructure network has enough GPU Containers to contribute raw processing power. That's why Aethir is constantly expanding its network of GPU cloud computing resources globally and onboarding new partners.

What Is Aethir's Role in DePIN AI?

DePIN AI technology anticipates the future growth of the AI sector, which is essential for successfully servicing advanced AI platforms. If we ask, "Why is Aethir important for DePIN AI technology?" the short answer is because of its accessibility to decentralized, dynamic GPU resources.

So, how does Aethir contribute to AI innovation?

Aethir DePIN AI infrastructure doesn't concentrate GPU computing power in a few major data centers like big-tech cloud companies. Instead, Aethir uses edge computing, a new iteration of cloud computing that distributes GPU resources across a vast geographical area in smaller cohorts. This way, Aethir can dramatically shorten the distance between users and GPU Containers. Every user receives GPU computing power from the Container closest to their physical location. 

Consequently, latency is significantly lower compared to centralized clouds, especially in cities far from regional capitals. That's because centralized cloud providers mainly concentrate GPU cloud resources in capital cities and then service whole regions from a single data center. Aethir DePIN AI infrastructure gives enterprises a competitive edge in the machine learning sector by eliminating lagging issues.

Furthermore, Aethir's Role in DePIN AI innovation is to allow the growing AI industry to tap into a massive supply of unused GPU power. The shortage of GPUs for AI computing is a real issue, but utilizing vast supplies of idle GPU resources through Aethir's GPU cloud is a game changer.

By seamlessly onboarding new GPU providers into its distributed cloud, the impact of Aethir on DePIN AI technology is set to become unprecedented. It's much faster to onboard new partners with supplies of idle GPU power than to constantly purchase new amounts of GPUs. Aethir partners with GPU service providers and enterprises with idle GPU power to repurpose it and put it to use in the AI sector.  

The Future of Depin AI With Aethir

A key element of Aethir's role in DePIN AI innovation is its visionary approach that harbors an exponential growth mindset. The AI industry tripled in size in less than four years, and there's no sign that the growth is going to slow down anytime soon. The physical limitations of GPU production capacity can be tackled with DePIN AI advancements. Aethir's distributed cloud computing approach repurposes idle GPU power, thus opening a whole new, massive supply of resources for AI platforms.

Aethir's AI contributions rely on a vast, community-run Web 3.0 economy, which utilizes 74,000 Checker nodes to ensure top-quality services in the Aethir DePIN AI network. The community runs Checker nodes to maintain the stability and daily operations of Aethir's decentralized cloud infrastructure. 

In exchange, node operators earn $ATH token rewards, thus creating an incentivized economic model for the community. The control over Aethir DePIN AI infrastructure is in the hands of the community, showcasing Aethir's dedication to decentralization as a core principle of Web 3.0.

DePIN AI technology is much more flexible and versatile than centralized GPU clouds. Ultimately, the decentralized nature of DePIN AI solutions provides much more scalability, which is essential for the uninterrupted growth of the global AI industry.

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