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Specter: Fast MoE Inference via Quantization-Enabled Multi-Step Speculative Offloading

Researchers present Specter, an inference system that uses quantization to combine multi-step speculative offloading for mixture-of-experts (MoE) models that exceed a single accelerator's memory capacity. Specter targets the PCIe I/O bottleneck caused by offloading experts to host memory, where data-dependent routing keeps transfers on the critical path.

read1 min views1 publishedOct 21, 2026

Mixture-of-experts (MoE) models often exceed a single accelerator's memory capacity. Off experts to host memory creates a severe PCIe I/O bottleneck because data-dependent routing keeps transfers on the critical path. We present Specter, an inference system that uses quantization to combine s

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