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Tether AI announces integration of the open-source TurboQuant implementation in QVAC SDK 0.12.0. TurboQuant, originally proposed by Google Research, can compress the KV Cache memory required during large model operation by up to 5 times, enabling longer context, larger documents, and longer conversations to run on local devices. Tether states that this technology will be applicable to laptops, smartphones, edge devices, and decentralized AI networks, and will serve as part of its strategy to promote localized and decentralized AI.