New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...

To enhance reading comprehension, you need to read.” Someone shared this comment on the guide I published yesterday on my ...

Training gets the hype, but inferencing is where AI actually works — and the choices you make there can make or break ...

Chipmakers Nvidia and Groq entered into a non-exclusive tech licensing agreement last week aimed at speeding up and lowering the cost of running pre-trained large language models. Why it matters: Groq ...

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...

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 ...

RENO, Nev.--(BUSINESS WIRE)--Positron AI, the premier company for American-made semiconductors and inference hardware, today announced the close of a $51.6 million oversubscribed Series A funding ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...