Tether Academy has added 80 new lessons on local AI using QVAC, the company's open-source framework. The update includes runnable code samples that execute entirely offline on local machines, as well as a music generation demo.
The QVAC framework provides a single API for running AI models locally across multiple operating systems and supports P2P networking and hardware-agnostic inference. This approach sidesteps latency and privacy concerns associated with cloud-based AI services.
Key Features
Each lesson consists of runnable code samples, allowing developers to execute real AI operations on their own hardware. The music generation example is particularly noteworthy, as it positions QVAC as a more general-purpose AI toolkit.
Background
The open-source SDK first launched in April 2026, and this educational expansion marks a significant milestone in the platform's public life. Powering QVAC's capabilities is Genesis, Tether's initiative for synthetic training datasets, which comprised 148 billion tokens across 19 domains as of late 2025.
