Tether AI announced the integration of open-source TurboQuant into QVAC SDK 0.12.0. TurboQuant, originally proposed by Google Research, can compress the KV Cache memory required during large model operations by up to 5x, enabling longer context, larger documents, and extended conversations to run on local devices. Tether stated that this technology will be applicable to laptops, mobile phones, edge devices, and decentralized AI networks, as part of its strategy to promote localized and decentralized AI. https://(wublock123.com)/news/tether-ai-integrates-open-source-turboquant-into-qvac-sdk-0120-61992