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The decentralization of artificial intelligence continues to advance within the industry. Tether announced the launch of QVAC SDK, an open-source software development kit intended to serve as a foundation for what the company calls the “Stable Intelligence Era.” The goal is to enable AI to run directly on users’ devices, without relying on cloud servers or centralized infrastructure.
The SDK is compatible with iOS, Android, Windows, macOS, and Linux. Tether says a single codebase can be used across all supported environments without platform-specific adaptations, reducing technical complexity for development teams.
According to Tether, the SDK infrastructure is built on QVAC Fabric, a fork of llama.cpp. It is designed to work across the ecosystem of text generation models, embeddings, and multimodal workloads. The company also integrates specialized engines, including whisper.cpp and Parakeet for voice transcription, and Bergamot for on-device translation, exposed through a unified API.
For end users, Tether highlights privacy as a primary impact. Everyday tasks such as writing assistance, translation, image generation, or financial planning can be executed locally without data leaving the device.
The system is also described as continuing to function without an internet connection, or if an external server goes offline.
Tether says the peer-to-peer component, powered by Holepunch technology, supports decentralized distribution of models and delegated inference without centralized infrastructure. The company adds that it also lays groundwork for distributed training and fine-tuning of models, operating transparently and uniformly across platforms.
Tether CEO Paolo Ardoino said: “latency limited by the speed of light, single points of failure, and concentration of control are features of a system designed for a smaller world,” adding that QVAC is built for the world ahead.
The company also announced it will allocate resources to expand the ecosystem toward specific toolkits for robotics and brain-computer interfaces.
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