Nvidia said the revenue opportunity for its artificial intelligence chips may reach at least $1 trillion through 2027, as the company outlined a strategy to compete more aggressively in the fast-growing market for running AI systems in real time. CEO Jensen Huang unveiled a new central processor and an AI system built on technology from Groq - a chip startup from which Nvidia licensed technology for $17 billion in December at its annual GTC developer conference in San Jose, California. The moves are part of Huang's bid to firm up the company's position in so-called inference computing, the process of answering queries, where its graphics processors face greater competition from central processing units and custom processors built by the likes of Google. Nvidia chips have dominated the process of AI model training, which has been the focus of recent years.