Running Massive Language Models on AWS: Qwen3.8 Deployment Guide
Deploying a 2.4-trillion-parameter beast like Qwen3.8-2.4T-A95B sounds intimidating, but this guide walks you through the entire process using Amazon SageMaker HyperPod and vLLM. You'll learn cluster setup, NVFP4 quantization tricks, and how to spin up an OpenAI-compatible endpoint with reasoning and speculative decoding built right in.
source: [aws/machine-learning-blog]