Running large models locally finally means no more relying on the cloud, 5x compression while maintaining quality, TurboQuant's open source release is truly a shot in the arm for edge device developers.

Tether AI announces the open source of the production version of TurboQuant and its integration into QVAC SDK 0.12.0. TurboQuant is based on Google Research's memory compression algorithm, allowing AI runtime KV cache to be compressed up to 5 times, with output quality close to uncompressed. This technology enables laptops, smartphones, and edge devices to handle longer conversations and larger files without cloud support. The release includes a complete quantization pipeline, inference framework adapters, and development documentation, targeting consumer-grade hardware, edge devices, and developers and startups on peer-to-peer networks.