Tether expands its reach into decentralized artificial intelligence

The issuer of the USDT stablecoin announced a research project aimed at running artificial intelligence models on consumer devices. Through its QVAC unit, it presented a framework that allows training and operating these models directly on laptops, smartphones, and everyday hardware.

The proposal moves away from the centralized infrastructure of data centers. It utilizes techniques like LoRA to fine-tune models without complete retraining and architectures like BitNet that optimize memory usage. The system is cross-platform and compatible with consumer GPUs, mobile chips, and personal computers without specialized configurations.

The declared goal is to democratize access to AI development, historically concentrated in corporations with massive investment capacity. If the framework is adopted, independent developers and emerging markets could participate in a field previously inaccessible due to costs.

Tether, whose main business has been the issuance of stablecoins, thus incorporates a new line of research in technological infrastructure. The move reflects a trend where digital finance companies explore expansions into computing, data, and artificial intelligence.

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