runpod-deployment

1. Serverless Workers - Scale-to-zero handlers with pay-per-second billing
2. vLLM Endpoints - OpenAI-compatible LLM serving with 2-3x throughput
3. Pod Management - Dedicated GPU instances for development/training
4. Cost Optimization - GPU selection, spot instances, budget controls

Key deliverables:

• Production-ready serverless handlers with streaming
• vLLM deployment with OpenAI API compatibility
• Cost-optimized GPU selection for any model size
• Health monitoring and auto-scaling configuration

<quick_start> Minimal Serverless Handler (v1.8.1):

import runpod