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

KubeCon Europe 2026 made AI inference its central focus with major CNCF donations including llm-d, Nvidia's GPU DRA driver ...

Google (GOOG)(GOOGL) has updated its pricing tiers for Gemini API optimization and inference based on usage requirements. The ...

Google has added two new service tiers to the Gemini API that enable enterprise developers to control the cost and ...

These tech stocks look particularly well positioned to benefit from this opportunity.

MLPerf results show how new GPUs and system-level design are enabling faster, scalable inference for large language models ...

To understand what's really happening, we need to look at the full system, specifically total cost of ownership of an AI ...

After emerging as a GPU-as-a-service vendor for AI model training, CoreWeave is moving toward GPU- and CPU-powered compute ...

For years, co-founder and chief executive officer Jensen Huang and other higher-ups at Nvidia have been banging on the ...

The most significant update to the benchmark suite to date, with new tests ensuring that it remains the most comprehensive ...

But CIOs likely won't see any savings as model sizes go up and functionality becomes more advanced, the analyst firm said.

Overview Present-day serverless systems can scale from zero to hundreds of GPUs within seconds to handle unexpected increases ...