The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

Multi-chip inference cloud startup Gimlet Labs receives $80M to solve one of AI's biggest bottlenecks - SiliconANGLE ...

Edge AI is the physical nexus with the real world. It runs in real time, often on tight power and size budgets. Connectivity becomes increasingly important as we start to see more autonomous systems ...

Ahead of Nvidia Corp.’s GTC 2026 this week, we reiterate our thesis that the center of gravity in artificial intelligence is ...

Nvidia just paid $20 billion for Groq's inference technology in what is the semiconductor giant's largest deal ever. The question is: Why would the company that already dominates AI training pay this ...

But the same qualities that make those graphics processor chips, or GPUs, so effective at creating powerful AI systems from scratch make them less efficient at putting AI products to work. That’s ...

AWS partnered with Cerebras. Microsoft licensed Fireworks. Google built Ironwood. One week of announcements reveals who ...

Nvidia is reportedly developing a specialized processor aimed at accelerating AI inference, a move that could reshape how ...