Project Maya is a local inference engine for massive Mixture-of-Experts models like GLM-5.3-Flash and DeepSeek-V4.1. It offloads inactive experts to system RAM and NVMe SSDs, allowing 748B parameter models to run on single GPUs or multi-GPU setups. The API is compatible with OpenAI and Anthropic standards, supporting tool calls and concurrent requests.
This is worth trying if you have high-end local hardware and need private, low-latency LLM access without cloud costs. The catch is the steep hardware floor: expect to use 100GB+ of combined VRAM and RAM for usable performance. It is not a solution for standard consumer laptops or low-memory systems.
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