How-toOfficial
Qwen3.8-2.4T-A95B在Amazon SageMaker HyperPod部署
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM
Why we picked it
阿里开源的Qwen3.8-2.4T-A95B模型现在能在AWS SageMaker HyperPod上部署了，教程详细说明了集群配置和量化方法。
Qwen3.8-2.4T-A95B是拥有2.4万亿参数的开源权重模型。该教程介绍了如何在Amazon SageMaker HyperPod上部署此模型。部署过程包括集群配置、NVFP4量化和OpenAI兼容端点设置。端点支持内置推理、工具调用和原生MTP推测解码功能。
Original · AWS Machine Learning Blog
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM
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.
