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Alibaba Cloud Lingjun Zhenwu M890 SuperPoD Adds Day-Zero Support for Kimi K3.1 Pro

This story is from 2026-11-05. It is preserved in the archive; the latest stories are on the live feed.

Alibaba Cloud says its Lingjun Zhenwu M890 SuperPoD now runs Moonshot AI's 2.8T Kimi K3.1 Pro on day zero via vLLM and SGLang, with Zhongwei invite testing and Panmai 920 NICs.

Read the full story at Pandaily ↗

Timeline · 5 reports

  1. 2026-11-06 17:02 · r/machinelearningnews
    Kimi K3.1 Pro (2.8T/104B) vs DeepSeek 1017 (552B/16B) vs GLM-5.3 & Qwen3.8-27B on AA Index v5: why a 16B-active model beats 104B on DeepSWE at 6.1x lower cost
  2. 2026-11-06 04:35 · DEV Community — AI
    Kimi K3.1 Pro Open Weights: A Developer's Checklist Before You Self-Host a 2.8T Model
  3. 2026-11-05 19:28 · DEV Community — AI
    Moonshot Just Put a 2.8-Trillion-Parameter Model on Hugging Face — Kimi K3.1 Pro's Open Weights Are Real, and the Fine Print Matters
  4. 2026-11-05 14:19 · DEV Community — Machine Learning
    Kimi K3.1 Pro Weights Are Out: $20M License Cliff, ~1.56 TB Reality, and Hosted vs Self-Host
  5. 2026-11-05 07:09 · Pandaily
    Alibaba Cloud Lingjun Zhenwu M890 SuperPoD Adds Day-Zero Support for Kimi K3.1 Pro

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  1. Kimi K3.1 Pro Weights Are Out: $20M License Cliff, ~1.56 TB Reality, and Hosted vs Self-Host — DEV Community — Machine Learning
  2. Blind listening test: 62 people compared 8-bar piano loops written by 8 LLMs (Gemini, Claude, Qwen, Kimi, Grok, GPT-6.1, DeepSeek, Llama). Interim results — r/artificial
  3. MaxxBench (RLVR'd LLMs fail easy variants of DeepSWE tasks + obsess over "hidden tests" and pleasing the grader) — r/mlscaling
  4. AI Inference Benchmark: Keln vs Fireworks, Together AI, Baseten, Modal, DeepInfra & Z.ai — DEV Community — AI
  5. How Fusion works: DeepSeek V4 Pro plans, V4 Flash writes the code — DEV Community — AI
  6. Free Chinese AI Models Show Hacking Skills Close to OpenAI's Advanced Cyber Model — Wired AI
  7. Lessons from putting 14 coding-agent CLIs behind one interface — DEV Community — AI
  8. Llama vs Qwen vs DeepSeek: How Much VRAM Do You Need to Self-Host? — DEV Community — AI

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