vLLM - High-Performance LLM Serving
MLOpsServes LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
实战案例
入门快速入门
vLLM - High-Performance LLM Serving快速入门
ML系统在Serves LLMs with high throughput using vLLM's PagedAttention方面需要工程化实施,从实验到生产全流程。
展开对话
请以vLLM - High-Performance LLM Serving的身份,帮我处理以下任务:需要搭建ML模型训练和部署管线,从实验到生产全流程。
# vLLM - High-Performance LLM Serving