KOL爆料：Plasma团队系原L2项目Blast原班人马，与Tether关系并不密切

Tether Launches Cross-Platform BitNet LoRA Framework for AI Training on Consumer Devices

Tether's QVAC division announced on March 17, 2026, the launch of the world's first cross-platform LoRA fine-tuning framework for Microsoft's BitNet models (1-bit LLMs), enabling billion-parameter AI training and inference on consumer GPUs and smartphones.

Tether Launches AI Training Framework for Smartphones and Consumer GPUs

Tether has launched a new AI training framework that allows for fine-tuning large language models on consumer devices such as smartphones and non-Nvidia GPUs. By utilizing Microsoft’s BitNet architecture and LoRA techniques, it provides substantial reductions in memory usage and computational costs, supporting a variety of chipsets. This development is in line with the trend of cryptocurrency companies expanding into AI and computing infrastructure.

Gate Daily Report (March 18): SEC and CFTC Clarify That Most Tokens Are Not Securities; Tether Launches New AI Framework

Bitcoin price oscillates around $74,140, with the U.S. SEC and CFTC issuing new guidelines clarifying that most cryptocurrencies are not securities, providing clear guidance for the market. Tether launches an AI fine-tuning framework. The market continues to monitor the impact of high interest rates and geopolitical tensions on the economy.

AI is no longer the exclusive domain of tech giants! Tether launches QVAC—has the moment arrived for everyone to have their own LLM?

Tether announced that its AI infrastructure, QVAC Fabric, has launched the world's first cross-platform BitNet LoRA fine-tuning framework, enabling large language models to be trained on consumer-grade hardware. This technology allows devices like smartphones to complete model fine-tuning, significantly reducing AI development costs, enabling AI decentralization, and making it possible to use AI anytime and anywhere in the future.

Tether Launches World's First Billion-Level AI Training Framework for Mobile, Compatible with iPhone and Samsung LoRA

Tether's QVAC division launched the world's first LoRA fine-tuning framework supporting Microsoft's BitNet architecture on March 17, significantly reducing AI model memory and computational requirements and enabling localized training on mobile phones. The technology allows users to perform personalized learning without uploading data, safeguarding privacy. Testing shows that modern smartphones can effectively fine-tune billion-parameter models, advancing the application potential of edge computing.