hygon-vllm

What problem does it solve?

This Skill streamlines deploying and managing large language models on Hygon DCU GPUs for high-performance inference tasks.

Core Features & Use Cases

• Distributed Model Deployment: Guides users through setting up distributed inference services supporting models like Qwen, DeepSeek, and LLaMA on Hygon hardware.
• Model Optimization and Scaling: Facilitates multi-GPU and multi-node deployment, optimizing for performance with tensor and pipeline parallelism.
• Use Case: An AI engineer wants to deploy a 70B parameter LLaMA model across multiple Hygon GPUs for real-time inference in a production environment.

Quick Start

Use the Hygon vLLM guide to set up distributed model deployment with Docker, configuring environment variables, and starting inference servers efficiently.