While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power.

For entrepreneurs facing an era of vast data and unending change, the choice isn’t binary between your gut and the data.

Strong IP protections will incentivize the human creativity that’s essential to improving, applying, and using AI.

The result was Athenic AI, a company that uses AI to run data analytics for enterprises across all of their data sources.

Not surprisingly, the parallel processing architecture that makes GPUs excel at training AI requires an immense amount of ...

Cloud-based AI services including ChatGPT have received plenty of attention thanks to their incredible computing power, but ...

Examples include automated ticketing systems, data entry tasks ... For instance, AI for Process includes Orchestrator Agents that are able to coordinate workflows, and Reasoning Agents that ...

Tech titan David Sacks reveals the status of the country's tech race with China and why U.S. data centers are important on ...

As Chinese AI application DeepSeek attracts hordes of American users, Trump administration officials, lawmakers and ...

DeepSeek stunned the tech world with the release of its R1 "reasoning" model, matching or exceeding OpenAI's reasoning model ...