Accelerating the Power of AI With Aethir

The AI market has been rapidly growing during the last few years, in line with the massive increase in the popularity of AI-powered platforms. In 2024, the AI market share is set to reach $184 billion, while estimates predict a staggering $826 billion AI market value by 2030. That's a projected annual growth rate of 28.46% between 2024 and 2030. To support the industry’s growth, AI businesses need a trusted platform to provide a scalable, reliable, and secure source of GPU computing power. Aethir, the leading GPU provider for AI, edge, and gaming enterprises, can efficiently and effectively help clients scale with enterprise-grade GPU computing regardless of their physical location and computing needs.

Aethir’s decentralized physical infrastructure network (DePIN) leverages thousands of idle NVIDIA H100s and A100s, which quickly power AI workloads at scale. Our GPU network is located in Tier 3 and Tier 4 data centers across the globe, making it a perfect fit for all types of enterprise clients looking to power AI use cases on a massive scale.

Powering Diverse AI Businesses With Aethir’s Infrastructure Platform 

Let's examine three ways in which Aethir's decentralized cloud infrastructure has scaled some of the most innovative AI enterprises in the market.

Large Language Models (LLMs) and Innovation

A Large Language Model is a meticulously optimized and trained deep learning model at scale, with billions of data sets, based on neural networks. LLMs use encoders and decoders to process data and produce end-products, inquiry answers, images, programming code, or content, depending on the LLM's use case and what it is trained for. AI inference is the process of training an LLM, which requires immense amounts of GPU computing power.

The potential of LLMs is only limited by the creativity of AI developers because they can be used for virtually any use case that can utilize large amounts of data to produce a specific result based on the imputed data sets. Through training, LLMs become highly sophisticated over time, allowing them to produce ever more advanced outputs based on user prompts. For example, more advanced LLMs specializing in visual generative content can create far better images than earlier versions just a few years ago. 

TensorOpera is a large-scale generative AI platform that recently partnered with Aethir to provide their enterprise clients with a reliable and secure supply of large localized interconnected GPU computing resources for LLM development. Their flagship TensorOpera Fox-1 open-source language model is a game-changer in the AI market with its highly advanced performance features that outperform many other models. TensorOpera Fox-1 is 78% deeper than similar models like Google's Gemma 2B and surpasses competitors in standard LLM benchmarks like GSM8k and MMLU. Also, TensorOpera Fox-1 is the first case of AI training on decentralized cloud infrastructure at scale. It was developed using high-quality NVIDIA H100 GPU clusters from Aethir's GPU fleet, showcasing how Aethir’s DePIN stack can power even the most complex AI workloads.

GPU Acceleration and AI Performance

Graphics processing units are vital for the AI industry because they are the only technological solution that efficiently provides computing power for AI workloads. LLM training, AI agent training, machine learning, and deep learning are all processes that require vast amounts of computing power. CPUs can only provide negligible processing power for AI enterprises, while GPUs are a much more powerful option. However, not all GPUs are fit for the task. The average mid-range GPU used for gaming, video editing, and light 3D modeling isn't even remotely close to providing enough computing power for AI purposes. That's why Aethir has a variety of high-end GPUs like NVIDIA’s A100s and H100s, at scale, optimized for large-scale AI workloads, such as feeding LLMs with billions of data parameters and optimizing them for market launch and mass use. 

Theta EdgeCloud, together with Aethir’s enterprise-grade compute, is creating the largest hybrid GPU marketplace in the world. This will empower every AI enterprise, large and small, with instant access to enterprise-grade GPU computing for all types of AI programming purposes. The synergy between Aethir and Theta EdgeCloud offers accessible and scalable GPU resources for AI and machine learning workloads, which aligns with Aethir's vision of democratizing access to top-quality GPU computing on a massive scale.

Decentralized Applications (dApps) and AI Integration

Decentralized applications (dApps) are blockchain-based Web3 applications and platforms that leverage the distributed architecture of blockchain networks. Instead of utilizing centralized servers, dApps use blockchains to facilitate daily operations reliant on a multitude of network nodes that aren't subject to centralized control. For example, the Ethereum blockchain is one of the leading networks for launching dApps, and Aethir's staking platform is essentially a dApp on the Ethereum network. There's no centralized entity that can pull the plug on a blockchain and thus shut down apps built on it. Furthermore, to access dApps, users need to connect their crypto wallets. Developers can launch dApps in any industry, from entertainment and gaming to finance, intellectual property, education, traveling, transportation, and more.

With AI's growing power, dApp developers are increasingly looking to incorporate AI functionalities into their blockchain platforms and provide users with more advanced services. Blockchain technology can secure AI data and models far more reliably than centralized cloud servers because blockchains leverage decentralized network control and don't have single points of failure.

Heurist is a community-owned AI DePIN providing open-source AI models powered by a ZK Layer-2 network. They provide developers with the tools they need to integrate AI models into decentralized apps, which requires considerable computing capacities, given that individual dApps have custom AI needs. Through their partnership with Aethir, Heurist has a seamless stream of GPU computing power facilitated by our distributed network of GPUs. Consequently, Heurist can provide frictionless premium AI integration features to all types of dApps. 

Aethir’s Solution for AI Workloads 

GPU scarcity and efficiency are key issues faced by the AI sector, but with Aethir, AI enterprises have limitless scalability at their fingertips. That's because Aethir is constantly expanding its network of GPU Infrastructure Partners while also efficiently utilizing the full capacity of idle or underutilized resources. Decentralization enables Aethir to pool GPU power from numerous sources simultaneously while still providing large local clusters when use cases dictate such a need. This means we can dynamically scale GPU supplies dedicated to individual clients in real-time, according to their needs. 

Aethir’s DePIN stack is a valuable partner for AI enterprises because our supply of thousands of state-of-the-art GPUs, including NVIDIA H100s and A100s, is globally distributed. This enables us to equally efficiently serve AI enterprises in regions on the opposite side of the globe, like South America and Southeast Asia, without sacrificing quality. Our resources are distributed throughout the network’s edge, allowing us to provide enterprise-grade GPU computing in areas hardly accessible to centralized cloud computing providers.

For further details on Aethir’s enterprise AI GPU offering, check out Aethir Earth, our bare metal offering for AI clients who need premium GPU computing at scale.