Nvidia, Cerebras, and AMD could all be inference winners.

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

Cerebras Systems is well-positioned for a shift toward smaller, faster AI models that prioritize inference speed and memory efficiency over sheer model size. CBRS's architectural advantages, such as ...

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 ...

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 ...

Startups as well as traditional rivals are pitching more inference-friendly chips as Nvidia focuses on meeting the huge demand from bigger tech companies for its higher-end hardware. But the same ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Stop thinking of the edge as a remote extension of the cloud and start treating it as a ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

OpenAI's inference residency now covers the UAE, letting eligible API, ChatGPT Enterprise and Edu customers run model inference on GPUs inside the country.