mxinference

What problem does it solve?

This Skill facilitates deploying and managing AI inference services for large language models on沐曦 GPU hardware, reducing technical complexity and improving performance.

Core Features & Use Cases

• Deployment of LLM inference services: Supports single-GPU, multi-GPU, and distributed setups including multi-machine configurations.
• Model optimization and performance tuning: Provides guidance on parameter adjustments like max-model-len and batch sizes for optimal throughput.
• Use Case: Automate the deployment of a 100B parameter model across a multi-node GPU cluster enabling real-time API responses and high concurrency.

Quick Start

Use the mxinference skill to deploy a Qwen2.5 model on your沐曦 GPU cluster with optimized settings for high throughput.