176B Parameters That Run Like 40B

import ollama
import asyncio
from typing import List, Dict

class MixtralEnterprise:
    def __init__(self, endpoints: List[str]):
        self.endpoints = endpoints
        self.current_endpoint = 0

    def load_balance_request(self):
        """Round-robin load balancing"""
        endpoint = self.endpoints[self.current_endpoint]
        self.current_endpoint = (self.current_endpoint + 1) % len(self.endpoints)
        return endpoint

    async def enterprise_completion(
        self,
        prompt: str,
        max_tokens: int = 4096,
        temperature: float = 0.1
    ) -> Dict:
        """Enterprise-grade completion with failover"""
        endpoint = self.load_balance_request()

        try:
            response = await ollama.AsyncClient(
                host=endpoint
            ).chat(
                model='mixtral:8x22b',
                messages=[{
                    'role': 'user',
                    'content': prompt
                }],
                options={
                    'num_predict': max_tokens,
                    'temperature': temperature,
                    'top_p': 0.9
                }
            )
            return {
                'success': True,
                'content': response['message']['content'],
                'endpoint': endpoint
            }
        except Exception as e:
            return {
                'success': False,
                'error': str(e),
                'endpoint': endpoint
            }

# Usage example
client = MixtralEnterprise([
    'http://192.168.1.100:11434',
    'http://192.168.1.101:11434',
    'http://192.168.1.102:11434'
])

result = await client.enterprise_completion(
    "Generate a comprehensive security audit report for our API endpoints"
)

apiVersion: apps/v1
kind: Deployment
metadata:
  name: mixtral-8x22b
  namespace: ai-models
spec:
  replicas: 3
  selector:
    matchLabels:
      app: mixtral-8x22b
  template:
    metadata:
      labels:
        app: mixtral-8x22b
    spec:
      containers:
      - name: ollama
        image: ollama/ollama:latest
        ports:
        - containerPort: 11434
        env:
        - name: OLLAMA_MEMORY_LIMIT
          value: "120GB"
        - name: OLLAMA_NUM_PARALLEL
          value: "8"
        - name: CUDA_VISIBLE_DEVICES
          value: "0,1,2,3"
        resources:
          requests:
            nvidia.com/gpu: 4
            memory: "128Gi"
            cpu: "16"
          limits:
            nvidia.com/gpu: 4
            memory: "192Gi"
            cpu: "32"
        volumeMounts:
        - name: model-storage
          mountPath: /root/.ollama
      volumes:
      - name: model-storage
        persistentVolumeClaim:
          claimName: mixtral-storage-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: mixtral-service
spec:
  selector:
    app: mixtral-8x22b
  ports:
  - port: 80
    targetPort: 11434
  type: LoadBalancer