Micro-Expert-Router: Running Mixtral-Class Moe Models on NVMe SSDs Without a GPU
The Micro-Expert-Router is a Rust execution engine designed for Mixture-of-Experts models that utilizes NVMe SSDs for efficient data handling. By keeping the router in RAM and hot-swapping experts from the SSD, it allows for the execution of large models on less powerful hardware. This innovative approach leverages quantization to optimize performance and reduce I/O costs significantly.
- ▪The engine uses O_DIRECT positional reads to transfer data from NVMe SSDs directly into RAM buffers.
- ▪It enables the execution of large Mixtral-class models by treating SSDs as the main weight store while using DRAM as a cache.
- ▪Quantization techniques allow for a significant reduction in SSD data transfer requirements, enhancing interactive token rates.
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| Original publisher | GitHub |
| Canonical URL | https://github.com/randyap8-wq/Micro-Expert-Router-SSD-Streamed-MoE-MER |
| Publication time | Wed, 27 May 2026 03:15:16 +0000 |
| Retrieval time | 2026-05-27T03:37:56.302Z |
| Last seen | 2026-05-27T03:37:56.302Z |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
Micro-Expert-Router, SSD-Streamed MoE Execution Engine A Rust execution engine for Mixture-of-Experts models that keeps the router resident in RAM and hot-swaps individual experts on demand from a PCIe-attached NVMe drive into a pool of pre-allocated, page-aligned RAM buffers using O_DIRECT positional reads (pread(2) via tokio::task::block_in_place, kernel-page-cache bypass). Each routed expert then executes a real Mixtral / Llama-style SwiGLU FFN forward pass directly over the bytes that just arrived from the drive.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.