TL;DR
- Aethir and io.net announce strategic collaboration to improve GPU access and performance.
- They will integrate io.net virtualization technology with Aethir’s distributed GPU cloud.
- A powerful, low-latency and cost-effective solution is expected for GPU-intensive workloads.
Aethir and io.net have unveiled a strategic collaboration aimed at improving the access and performance of graphics processing units (GPUs) in artificial intelligence (AI), machine learning and blockchain gaming applications.
The GPU market is projected to reach a size of USD 206.95 billion by 2030, evidencing the growing demand for specialized computing power.
With great pleasure, we welcome @ionet as our strategic partner 🤝
The GPU market is projected to skyrocket to a size of USD 206.95 billion by 2030. Our partnership aims to meet the growing demand for GPU computing with an efficient, sustainable, and highly scalable solution ✅… pic.twitter.com/jkhA0d2f1t
— Aethir (@AethirCloud) April 22, 2024
This partnership between Aethir and io.net seeks to address this growing demand through an efficient, sustainable and highly scalable solution.
The collaboration involves integrating io.net virtualization technology with Aethir’s distributed GPU cloud, combining the best of both platforms to deliver a powerful, low-latency and cost-effective solution for GPU-intensive workloads.
This integration also aims to improve accessibility and efficiency in the use of GPU resources, benefiting companies in sectors such as AI, machine learning and gaming.
Aethir’s distributed cloud infrastructure is designed to provide enterprise customers with fast and highly scalable GPU resources.
With an ever-growing network of more than 40,000 high-quality GPUs, including 3,000 NVIDIA H100s, Aethir offers a robust enterprise environment for GPU computing, where the physical distance between GPUs and end users is significantly reduced, thus improving performance and reducing costs.
On the other hand, io.net’s virtualization, orchestration and networking technology allows AI/machine learning engineers and other developers to quickly deploy cloud computing clusters over a broad network of decentralized GPUs and CPUs.
This collaboration between io.net and Aethir not only expands the capabilities of both platforms
It also opens up new possibilities for users in terms of accessibility, affordability and efficiency in GPU computing.
In addition to technical improvements, the partnership also focuses on marketing and community activities to advance the overall ecosystem.
An airdrop exchange between both communities demonstrates both companies commitment to joint development and rewarding early participants.
The strategic collaboration between Aethir and io.net represents a significant advancement in the GPU computing landscape, offering innovative and powerful solutions that benefit a wide range of industries and end users.
