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Kimi K3

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Headlines · 33

  1. vLLM v0.31.0 expands serving, speculation, and model support

    vLLM v0.31.0 adds broad serving and model-support updates, including DeepSeek-V4.1-Flash optimizations, Model Runner V2 speculative decoding, larger-scale expert parallelism, and improved multimodal support. It also introduces the `vllm preload` weight-cache daemon for faster engine restarts and experimental CRIU-based initialized-engine snapshots, alongside several security and breaking changes.

    vLLM Releases · 🔥 0
  2. Reflection AI debuts Beam, its first open-weight model

    Reflection AI, a 2024 startup founded by two former Google DeepMind researchers and backed by Nvidia, unveiled Beam, a text-only mixture-of-experts model with 501 billion total parameters and 23 billion active, pretrained on 23.8 trillion tokens with a 1 million token context window and aimed at reasoning, coding and agentic work. The company says Beam reaches performance close to Z.ai's GLM-5.2 using roughly one-third to one-quarter of the inference compute, and approaches Qwen3.8-Max, though its own published scores still trail newer Chinese open models such as GLM-5.3, Kimi K3 and DeepSeek V4.1 Flash. Reflection says the weights, a technical report and developer tooling are due this month.

    IT之家 AI · 🔥 0
  3. Nebius’ Eigen AI acquisition puts inference efficiency at center

    Nebius acquired inference-optimization startup Eigen AI for consideration exceeding $1 billion, bringing its roughly 20-person team into the cloud provider. Eigen AI founder Hanrui Wang now leads Nebius’s Token Factory, which covers inference, post-training and agent systems, while the company positions efficient open-model serving as a core business.

    MIT科技评论中文 · 🔥 0

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