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      <title>ReviveMoE: Fast Recovery for Hardware Failures in Large-Scale MoE LLM Inference Deployments</title>
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      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
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      <description>• Computer Science &amp;gt; Distributed, Parallel, and Cluster Computing [Submitted on 24 Feb 2026] Title:ReviveMoE: Fast Recovery for Hardware Failures in Large-Scale MoE LLM Inference D</description>
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      <title>Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling</title>
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      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/semantic-parallelism-redefining-efficient-moe-inference-via-model-data-co-scheduling/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 6 Mar 2025 (v1), last revised 24 Feb 2026 (this version, v4)] Title:Semantic Parallelism: Redefining Efficient MoE Inference via</description>
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      <title>Architectural Choices in China&#39;s Open-Source AI Ecosystem: Building Beyond DeepSeek</title>
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      <pubDate>Tue, 27 Jan 2026 15:01:45 +0000</pubDate>
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      <description>• China&amp;rsquo;s open‑source AI community has pivoted to Mixture‑of‑Experts (MoE) architectures for cost‑effective scalability. • MoE allows dynamic compute allocation, enabling models to</description>
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