AI Inference Guide
Core Concepts
Deployment Options
Tools & Services
Advanced Topics
AI Inference Overview
What is AI Inference?
AI inference is the process of using a trained machine learning model to make predictions or generate outputs from new input data. Unlike training, which requires massive computational resources, inference can be optimized for speed, efficiency, and deployment in various environments.
Edge & Device Inference
Privacy
Data never leaves the device, ensuring complete privacy and compliance
Cost Savings
No server costs - inference runs on user's hardware
Low Latency
Eliminate network round trips for faster response times
Offline Capable
Works without internet connection after initial model download
Key Technologies
WebGPU
High-performance GPU acceleration directly in web browsers
WebAssembly (WASM)
Near-native performance for CPU computation in browsers
Model Quantization
Reduce model size and memory usage while maintaining accuracy
ONNX Runtime
Cross-platform inference with hardware-specific optimizations
AI Inference Overview
What is AI Inference?
AI inference is the process of using a trained machine learning model to make predictions or generate outputs from new input data. Unlike training, which requires massive computational resources, inference can be optimized for speed, efficiency, and deployment in various environments.
Edge & Device Inference
Privacy
Data never leaves the device, ensuring complete privacy and compliance
Cost Savings
No server costs - inference runs on user's hardware
Low Latency
Eliminate network round trips for faster response times
Offline Capable
Works without internet connection after initial model download
Key Technologies
WebGPU
High-performance GPU acceleration directly in web browsers
WebAssembly (WASM)
Near-native performance for CPU computation in browsers
Model Quantization
Reduce model size and memory usage while maintaining accuracy
ONNX Runtime
Cross-platform inference with hardware-specific optimizations