API Reference
Complete documentation for the VoltageGPU API. Explore endpoints, SDKs, and code examples to integrate confidential AI into your applications.
REST API Reference
Complete endpoint documentation with request/response examples and authentication details.
SDK Libraries
Official client libraries for Python, Node.js, and TypeScript with full type support.
API Overview
Architecture overview, authentication flow, rate limits, and best practices for using the API.
OpenAPI Spec
Download the OpenAPI 3.0 specification for Swagger UI, Postman, or automated client generation.
Quick Start Example
import voltagegpu
# Initialize the client with your API key
client = voltagegpu.Client(
api_key="YOUR_API_KEY"
)
# Create a GPU instance
instance = client.instances.create(
gpu_type="A100",
region="us-east-1",
name="my-training-job"
)
# Run your workload
result = instance.run(
image="pytorch/pytorch:latest",
command="python train.py"
)
print(f"Job completed: {result.status}")Ready to build?
Get your API key and start integrating confidential AI into your applications today.