What is AI Inference?

Inference

Inference is the process where a trained model is put into a live environment to respond to user questions or process data. It is the "run-time" phase of AI.

Training vs. Inference

• Training: Compute-intensive, takes days/months, uses massive datasets. Teaches the model.
• Inference: Fast, happens in milliseconds/seconds, processes one input at a time. Uses what the model learned.

Edge Inference

Running inference directly on a local device (Edge AI) rather than in the cloud is a major trend.

• Benefit: Reduced latency and increased privacy.
• Future Vision: We aim to explore Edge Inference capabilities in future versions of our Data Acquisition products, allowing them to make intelligent decisions locally even when offline.