⚡ Live Sandbox: AI Dev Tool: Predictive intelligence to anticipate

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```python
# AI Dev Tool: Predictive Intelligence FastAPI Micro-SaaS Boilerplate
# =====================================================================

"""
Production Starter Boilerplate for Predictive Intelligence Micro-SaaS
using FastAPI, Pydantic v2, and CUDA for AMD on Windows.
"""

# Imports
# =======
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import numpy as np
import torch
from torch import cuda

# App Setup
# =========
app = FastAPI(
    title="Predictive Intelligence Micro-SaaS",
    description="A production-ready boilerplate for building predictive intelligence micro-SaaS applications.",
    version="1.0.0"
)

# CUDA Setup
# ==========
device = torch.device("cuda" if cuda.is_available() else "cpu")

# Models
# ======
class PredictiveModel(BaseModel):
    """Predictive model input schema."""
    input_data: List[float]

class PredictiveOutput(BaseModel):
    """Predictive model output schema."""
    prediction: float

# Routes
# ======
@app.post("/predict", response_model=PredictiveOutput)
async def predict(data: PredictiveModel):
    """
    Predictive intelligence endpoint.

:param data

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