{
  "id": 6492521,
  "title": "Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM",
  "url": "https://urgent.news/2026/09/09/deploying-qwen3-8-2-4t-a95b-on-amazon-sagemaker-hyperpod-with-vllm",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T22:26:29.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/deploying-qwen3-8-2-4t-a95b-on-amazon-sagemaker-hyperpod-with-vllm/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Learn how to deploy Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter open-weight model, on Amazon SageMaker HyperPod with vLLM. This walkthrough covers cluster provisioning, NVFP4 quantization, and an OpenAI-compatible endpoint with built-in reasoning, tool calling, and native MTP speculative decoding.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "AWS Machine Learning",
        "title": "Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes",
        "url": "https://urgent.news/2026/09/08/amazon-sagemaker-feature-store-introduces-updaterecord-for-feature",
        "published": "2026-09-08T18:29:15.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}