FreeTokenEdge-native MoE serving engine: bandwidth-adaptive CPU-GPU co-execution, global LRU expert caching and elastic VRAM run 290B+ frontier MoE models on a gaming PC at interactive speed.
Why switchSame trick for the same job: CPU-GPU co-execution with an adaptive expert cache in VRAM to run 290B-class MoE on a gaming PC. Strata ships it as a one-click app for specific models; FreeToken is the more general serving engine.
Full comparison → colibriPure-C, zero-dep MoE runtime that runs GLM-5.2 (744B) on a 25GB-RAM consumer box by streaming experts from disk — VRAM/RAM/NVMe as one tiered hierarchy, never touching precision.
Why switchBoth run MoE models far bigger than VRAM on consumer boxes by tiering experts across VRAM, RAM and disk; Colibri is a zero-dep C runtime that streams from NVMe, Strata keeps experts in RAM and computes them on the CPU alongside the GPU.
Full comparison → magnitudeLocal inference desktop app + CLI: profiles your hardware, estimates tok/s per model before download, tunes the one you pick, and connects Pi, OpenCode, Hermes, Codex or Claude Code in a click.
Why switchBoth are local-inference desktop apps plus CLI that pick a model for your hardware and connect it to Claude Code, Codex, OpenCode or Pi in one step; Magnitude spans many models, Strata goes deep on a few huge MoEs.
Full comparison → uzuRust inference engine for on-device AI on Apple Silicon (Metal, unified memory) with Swift, Python and TS bindings, OpenAI-compatible server and a TypeSafe System One decision-model API.
Why switchBoth run models locally behind OpenAI-compatible endpoints: Strata serves huge MoEs on a gaming GPU, uzu embeds small models inside Apple apps.
Full comparison →