<objective Deploy and manage GPU workloads on RunPod infrastructure: 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 </objective <quick start…