Nvidia will dominate this crucial part of the AI market for at least the next two years

The principal tasks of artificial intelligence (AI) are training and inferencing. The former is a data-intensive process to prepare AI models for production applications. Training an AI model ensures that it can perform its designated inferencing task--such as recognizing faces or understanding human speech--accurately and in an automated fashion. Inferencing is big business and is set to become the biggest driver of growth in AI. McKinsey has predicted that the opportunity for AI inferencing hardware in the data center will be twice that of AI training hardware by 2025 ($9 billion to 10 billion vs. $4 billion to $5 billion today).