Based on the implementation of Google's TurboQuant (ICLR 2026) — Quansloth brings elite KV cache compression to local LLM inference. Quansloth is a fully private, air-gapped AI server that runs massive context models natively on consumer hardware with ease
High-performance AI agent for long-horizon tasks and local models. Built on empirical research. 200k+ tokens of work inside a 64k context window. Run a full dev team in 5GB VRAM.