Aethir, known for its services in the AI sector, introduces unmatched Decentralized GPU Cloud access to compute resources. Aethir Cloud is aimed to power the next-gen Web3, gaming, and artificial intelligence (AI). The platform emerges as a key player with more than 430,000 enterprise-grade GPU containers in 94 countries. These GPU containers feature the groundbreaking units of NVIDIA H100 and H200.
In addition to that, Aethir aims to empower the Web3 landscape by creating the largest infrastructure for a decentralized GPU cloud. This worldwide approach is a bold statement towards the platform’s mission, also a technological feat. So, Aethir is the world’s largest compute provider. Aethir, a platform for decentralized GPU Cloud infrastructure, announces the development through its official X account.
Aethir to Embrace the Future of Web3 and AI
Aethir’s performance is the factor that differentiates it from others along with its scaling capacity. The platform has already provided over 977 million compute hours, along with more than $140 million in annual recurring revenue (ARR). In this way, Aethir rapidly achieves the milestone of 1 billion compute hours.
The platform further trains AI models and renders high-speed games while strengthening the landscape of Web3. By doing this, Aethir aims to provide the needed modern applications that are considered a backbone of the system.
Aethir to Offer Decentralized Compute Along with Enterprise-Grade Muscle
Aethir doesn’t compromise with its commitment towards decentralization, aiming at its scaling capability. The platform is set to distribute its GPU power around a connected infrastructure worldwide. In this way, the infrastructure strives to offer fast, secure, and cost-effective access to computing to enterprises and developers.
The platform is poised to adapt to the need for a dynamic digital source. With the growing demand for blockchain, AI, and immersive experiences. Aethir strives to cement its reputation as a decentralized force. The platform reshapes the approach to tapping into the computing power.
