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

We all have the habit of trying to guess the killer in a movie before the big reveal. That’s us making inferences. It’s what happens when your brain connects the dots without being told everything ...

Nvidia CEO Jensen Huang unveils a high-speed AI inference system using Groq technology, targeting growing demand.

Mitesh Agrawal (Positron) posed inference as “yes and no” on whether every deployment is a “snowflake,” meaning the workload definition changes by buyer priorities, time to first token, latency, time ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

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 ...

Lenovo and NVIDIA are bringing AI from development environments into real-world production at a global scale with the new Lenovo AI inferencing platforms with NVIDIA Dynamo and NVIDIA NIM , the Lenovo ...

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

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...