Presented by Xilinx

Artificial intelligence (AI) is becoming pervasive in almost every industry and is already changing many of our daily lives. AI has two distinct phases: training and inference. Today, most AI revenue is made from training: working to improve an AI model’s accuracy and efficiency. AI inference is the process of using a trained AI models to make a prediction. The AI inference industry is just getting started and is expected to soon surpass training revenues due to the “productization” of AI models — or moving from an AI model to a production-ready AI application.

Keeping up with increasing demand

We’re in the early stages of adopting AI inference and there’s still lots of room for innovation and improvements. The AI inference demands

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