MoEShift

MoEShift is a software tool that provides memory efficient and high performance Mixture-of-Experts inference for Apple Silicon.

MoEShift runs large AI models locally on Apple Silicon with low peak memory usage. It uses a shared SSD expert runtime to execute Mixture-of-Experts models like Qwen 3.8 Flash Next and Qwen3.6-35B-A3B. The software helps your Mac stay responsive during inference by keeping peak memory low and leaving room for other applications. It includes model preparation tools, configuration files, and a local server compatible with OpenAI API clients. Users can adjust settings such as context size, expert cache, and thread counts to balance speed and memory usage on their hardware.

MoEShift at a glance

Best for: Software engineer
Runs on: macOS, CLI, API, self-hosted, open source
Pricing: Free
Released: November 2026
Category: AI coding tool
Website: github.com/davide-troiani/moeshift

Key features

Shared SSD expert runtime
OpenAI-compatible local server
Model preparation tools
Configurable context size and thread count
Adjustable expert cache and prefill banks
Support for Apple Silicon

Use it for

Running large AI models locally on a Mac
Connecting local models to chat and coding applications
Processing long prompts with low memory consumption

Alternatives to MoEShift

oMLX — It uses paged SSD KV caching to reduce agent TTFT to under 5 seconds.
Strata Mlx — Runs 125B MoE models on Apple Silicon by streaming experts directly from disk.
MTPLX — It runs local models twice as fast via native MTP speculative decoding.
Kapitsa — Optimized inference engine delivering high token generation speeds on Apple Silicon.
Strata — Runs large AI models locally on consumer gaming PCs without server reliance.
Soup — Fine-tune and align models like Llama-3.1-8B on a 4 GB laptop GPU.
Shimmy — Runs local AI models with zero Python or C++ dependencies.
Pulsar — It is the fastest inference engine for Qwen models on Apple Silicon.
LMDeploy — Accelerates inference with high-performance engines and quantization tools.
Dsv41 Flash Offload — Runs a large DeepSeek model locally using consumer hardware and offloaded host RAM.
OptiQ — Runs entirely on Apple Silicon without PyTorch or cloud dependence.
AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.

All MoEShift alternatives