Did DeepSeek just deep-six estimates about AI's energy needs? The Chinese upstart claims a far more efficient AI model, ...

Although R1 was reportedly trained on over two thousand H800 GPUs from Nvidia, it’s significant for Huawei that the company’s ...

Google's marketing mix model, Meridian, promises to help advertisers better measure their marketing impact across channels.

While DeepSeek's efficient AI model sent American tech stocks tumbling, experts say the real disruption isn't what Wall ...

Phi-4 is 14B parameter model from Microsoft Research that aims to improve the state of the art for math reasoning. Previously ...

Pipeshift has a Lego-like system that allows teams to configure the right inference stack for their AI workloads, without extensive engineering.

As a result a big change is afoot in the economics of a digital economy built on providing cheap services to large numbers of ...

Through effective system schedule coordination, kernel optimization and its proprietary prefetching mechanism, reinforced by model quantization that fully takes advantage of modern GPUs, Mango ...

The hardware choices for AI inference engines are chips, chiplets, and IP. Multiple considerations must be weighed.

While commercial aircraft manufacturing is dominated by two big players, Boeing and Airbus, the engine industry has a similarly small playing field. Four big companies make up 99% of the global aero ...

facilitating AI deployment across hybrid clouds by leveraging Neural Magic's expertise in model optimization and inference acceleration. This move aligns with Red Hat's commitment to open-source ...

“A facelift for the Model 3 comes just in the nick of time to nudge it back ahead of rivals” There can’t be anyone who doesn’t know what a Tesla is: it’s incredible how the startup ...