Wed March 18, 2026 ▪
3
min read ▪ by
Tether just took the AI market to a whole new level. The company unveils a framework capable of training models directly on smartphones. This breakthrough shakes up industry standards. But not only that! It also paves the way for more affordable artificial intelligence.
In short
- Tether makes it possible to train powerful artificial intelligence models directly on smartphones, without demanding infrastructure.
- This innovation accelerates the emergence of decentralized artificial intelligence, reducing reliance on the cloud and GPU.
Here’s how Tether enables AI model training on smartphones
Tether represents a system based on BitNet architecture and LoRA fine-tuning. This combination significantly reduces computing power and memory optimization. The result: the language model can be run on a simple smartphone.
The numbers are particularly striking. An AI model with a billion parameters is actually trained in less than two hours. Tests even show capabilities of up to 13 billion. This performance applies 1-bit modelsmuch lighter than classical architectures.
But that’s not all! The memory gain also reaches 77.8%. This is a game changer for machine learning and deep learning. Developers no longer they need a high-end GPU. The framework also runs on multiple chips, including Apple, AMD and Qualcomm.
Inference is also picking up speed. Mobile GPUs outperform CPUs with up to 11 times the performance. This technical leap brings AI closer to everyday life. The fact is that model training lets data centers settle in users’ pockets.
AI: towards a decentralized infrastructure without the Cloud or Nvidia
This innovation goes beyond a simple technical proof. Effectively redefines AI infrastructure as it reduces dependence on cloud giants and Nvidia GPUs. Decentralized AI thus becomes a plausible scenario.
The system prefers federated learning. The data remains on the device. Data processing brings privacy benefits. Each user thus participates in distributed calculations without exposing their information.
This model fits edge computing logic. The AI runs as close to the user as possible. This approach reduces costs and speeds processing. It also opens up new use cases for mobile apps.
Thus, Tether’s initiative confirms a broader trend. Artificial intelligence is moving closer to users and away from data centers. This development could redefine the balance between Big Tech and decentralized actors.
Maximize your Cointribune experience with our “Read and Earn” program! Earn points for every article you read and get access to exclusive rewards. Register now and start reaping the benefits.
My name is Ariela and I am 31 years old. I have been working in the field of web development for 7 years. I only discovered trading and cryptocurrencies a few years ago, but it’s a universe I’m very interested in. The topics on the platform allow me to learn more. As a singer in my spare time, I also have a great passion for music and reading (and animals!)
DISCLAIMER OF LIABILITY
The views, thoughts and opinions expressed in this article are solely those of the author and should not be taken as investment advice. Before making any investment decision, do your own research.
