微服务架构中大模型部署策略

在微服务架构中部署大模型需要考虑资源隔离、负载均衡和监控告警等关键因素。本文将分享一个基于Kubernetes的实践方案。

核心部署策略

资源限制配置：为大模型Pod设置合理的CPU和内存限制

apiVersion: v1
kind: Pod
metadata:
  name: llama2-model
spec:
  containers:
  - name: model-container
    image: llama2:latest
    resources:
      requests:
        memory: "8Gi"
        cpu: "4"
      limits:
        memory: "16Gi"
        cpu: "8"

部署配置：使用Deployment管理模型实例

apiVersion: apps/v1
kind: Deployment
metadata:
  name: model-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: model
  template:
    metadata:
      labels:
        app: model
    spec:
      containers:
      - name: model
        image: llama2:latest
        ports:
        - containerPort: 8000

服务发现与负载均衡：配置Service暴露模型接口

apiVersion: v1
kind: Service
metadata:
  name: model-service
spec:
  selector:
    app: model
  ports:
  - port: 80
    targetPort: 8000
  type: ClusterIP