[Tether AI Advances Local Intelligence with QVAC SDK Update and TurboQuant Integration] According to Crowdfund Insider, the Tether AI research team has enhanced its open-source ecosystem by releasing a production-ready version of TurboQuant, a memory compression technology developed by Google Research, and integrating it into the latest version of the QVAC SDK. TurboQuant addresses the primary bottleneck of KV cache issues in running AI locally, enabling up to 5x compression of the cache while maintaining nearly unchanged output quality. This means that consumer-grade devices such as laptops and smartphones can directly handle complex tasks like long conversations and large documents, reducing reliance on cloud data centers. Tether's CEO stated that this release aims to enable AI to operate on personal devices and local networks, rather than processing all tasks through centralized systems.