RunPod Serverless GPU

#!/usr/bin/env python3
"""RunPod Serverless: Production GPU Handler with Warm Model Cache"""

import os
import torch
import runpod

MODEL = None

def load_model():
    global MODEL
    if MODEL is None:
        print("[INFO] Loading model into VRAM from Network Volume...")
        MODEL = torch.nn.Identity().cuda()
    return MODEL

def handler(job):
    """Serverless request execution handler"""
    job_input = job.get("input", {})
    prompt = job_input.get("prompt", "Sample input")
    
    m = load_model()
    
    result = {
        "status": "completed",
        "vram_allocated_gb": torch.cuda.memory_allocated() / (1024 ** 3),
        "message": f"Processed: {prompt}"
    }
    return result

runpod.serverless.start({"handler": handler})