Documentation
SCAILIUME Docs
Everything you need to integrate, configure, and optimize SCAILIUME for your AI infrastructure.
Browse by Category
Getting Started
Quick start guides and tutorials to get you up and running with SCAILIUME.
API Reference
Complete API documentation for all SCAILIUME interfaces and endpoints.
Data Integration
Connect SCAILIUME to your existing data sources and storage systems.
GPU Configuration
Optimize your GPU clusters for maximum throughput with SCAILIUME.
Configuration
Advanced configuration options and environment settings.
Security
Security best practices and compliance documentation.
Quick Start Example
pipeline.py
import scailiume as sc
# Initialize the GPU-native pipeline
pipeline = sc.Pipeline(
source="s3://your-bucket/data",
gpu_cluster="cuda:0,1,2,3",
batch_size=1024
)
# Configure zero-copy data streaming
pipeline.configure(
zero_copy=True,
prefetch_batches=4,
compression="lz4"
)
# Run inference with continuous data supply
for batch in pipeline.stream():
predictions = model.predict(batch)
results.append(predictions)
# Monitor GPU utilization
print(f"GPU Utilization: {pipeline.metrics.utilization}%")
print(f"Throughput: {pipeline.metrics.throughput} samples/sec")