Tether has just taken the AI market to a whole new level. The company unveils a framework capable of training models directly on smartphones. This advancement shakes up industry standards. But not only that! It also opens the way to more accessible artificial intelligence.
In brief
- Tether allows the training of powerful AI models directly on smartphones, without heavy infrastructure.
- This innovation accelerates the emergence of decentralized AI, reducing dependence on the cloud and GPUs.
This is how Tether makes training AI models possible on smartphones
Tether introduced a system based on BitNet architecture and LoRA fine-tuning. This combination greatly reduces computing power and memory optimization. Result: a language model can run on a simple smartphone.
The figures particularly stand out. An AI model with a billion parameters can be trained in less than two hours. Tests even show capacities of up to 13 billion. This performance is based on 1-bit modelsmuch lighter than traditional architectures.
That's not all! The memory gain also reaches 77.8%. This is a game changer for machine learning and deep learning. The developers have no no need for high-end GPUs. The framework also works on several chips, including Apple, AMD and Qualcomm.
Inference also gains speed. Mobile GPUs outperform CPUs with up to 11x better performance. This technical jump brings AI closer to everyday life. The fact is that model training is moving out of data centers and into users' pockets.
AI: towards a decentralized infrastructure without Cloud or Nvidia
This innovation goes beyond simple technical prowess. In fact, it redefines AI infrastructure as it reduces dependence on cloud giants and Nvidia GPUs. Decentralized AI therefore becomes a credible scenario.
The system promotes federated learning. The data remains on the device. Data processing gains confidentiality. Each user therefore participates in a distributed calculation without exposing their information.
This model fits into the logic of “edge computing”. The AI runs as close as possible to the user. This approach limits costs and speeds up treatment. It also opens up new uses for mobile applications.
Tether's initiative therefore confirms a broader trend. AI is moving closer to users and away from data centers. This development could redefine the balance between Big Tech and decentralized players.
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