Mixture-of-Experts

5 pieces on Mixture-of-Experts.

News & Analysis

news
Shan2026-08-29
Model InferenceOpen WeightsConsumer HardwareMixture-of-ExpertsLocal Inference

FreeToken Runs 284B MoE Models on a Single Consumer GPU

FreeToken's q* policy and semantic anchor checkpointing deliver 3–4× faster decode and 6–30× faster prefill for frontier MoE models on RTX consumer hardware.

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news
Shan2026-08-28
Open WeightsArchitectureMixture of ExpertsInference EfficiencyChinese AI Labs

GLM-5.3-Flash and Qwen3.8-Flash-Next Independently Hit the Same 3:1 Attention Ratio

Two Chinese AI labs independently converged on a 3:1 linear-to-full attention ratio, a 2048-token sparse budget, four gated residual streams, and Muon.

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news
Shan2026-08-26
Open WeightsMixture of ExpertsAlibabaMultimodalInference Efficiency

Qwen3.8-Flash-Next: 125B MoE Runs at 6B Active Params, Previews Qwen4

Alibaba's Qwen team releases a 180B-on-disk multimodal MoE that activates only 6B parameters per token, trained at one-ninth the cost of Qwen3.7-Plus.

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NVIDIA Nemotron 3.5 Lightning: 30B MoE with 3B Active Parameters
news
Shan2026-08-12
NVIDIAOpen WeightsMixture of ExpertsAI AgentsModel Routing

NVIDIA Nemotron 3.5 Lightning: 30B MoE with 3B Active Parameters

NVIDIA ships Nemotron 3.5 Lightning, a 30B MoE with 3B active parameters and 1M-token context, plus NeMo Switchyard for per-step agent routing.

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news
Shan2026-06-18
GLM-5.2Z.aiOpen WeightsLLMsAI ModelsMixture of Experts

GLM-5.2 Raises the Bar for Text-Only Open-Weights LLMs

Z.ai's GLM-5.2 arrives as a 753B-parameter open-weights text model with a 1M-token context window, strong benchmark results, and aggressive API pricing.

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