… Qwen3 throughput on Intel® Core™ Ultra Processors NPU Smaller LLMs offer the advantage of flexible, efficient lightweight deployment, supporting quicker iterations and model updates. However, smaller LLMs trade-off depth and breadth of their knowledge while handling complex tasks. …
… Start vLLM serving Single GPU deployment MI355X : vllm serve Qwen/Qwen3.6-35B-A3B \ --tensor-parallel-size 1 \ --max-model-len 32768 \ --reasoning-parser qwen3 Multiple GPU development MI355X : vllm serve Qwen/Qwen3.6-35B-A3B \ --tensor-parallel-size 8 \ --max-model-len 262144 \ --reasoning-parser … …
… How to Run Qwen 3.8 with vLLM on AMD Instinct GPUs FP8 Deployment vLLM Docker: docker pull vllm/vllm-openai-rocm:qwen38 Configuration: Two MI355X Nodes: Parallelism: TP=8, PP=2 Ray: 2 nodes, 16 GPUs API: http://10.24.112.181:8000/v1 Env args: export RAY ADDRESS=10.24.112.181:6380 export HIP VISIBLE… …