Asynchronous processing in identity management is crucial for both enterprises with legacy systems and cloud-native solutions ...

Driven by the demand for AI-ready cloud infrastructure, the market cap for global data center construction, currently valued at more than ...

Nvidia’s AI GPUs have long been the standard for training large-language AI models in centralized data centers, thanks to ...

The ETRI said that after its commercialization, this technology "will be a game-changer for Korea to become the world’s fifth ...

In various fields ranging from healthcare to finance, the demand for sophisticated data mining techniques that can efficiently process vast datasets to ...

For much of the last two years, Nvidia has been the biggest player in town when it comes to data center processors.

Electronics and Telecommunications Research Institute (ETRI) announced that it has developed an accelerator system-on-chip ...

Abstract: Processing-in-Memory (PIM) is an emerging computing paradigm exploiting a cutting-edge memory device (PIM device) that integrates hundreds to thousands of processing units with the memory ...

Learn how to run Deepseek R1 671b locally, optimize performance, and explore its open-source AI potential for advanced local ...

AI accelerators are specialized hardware that are designed to enhance the performance of AI and ML applications.

Tae Kim: I think it's actually both. They were at the right place at the right time because Jensen always believed in parallel computing, which is what their chips are good at, it's called graphics ...

Abstract: Photovoltaic (PV) to virtual bus parallel differential power processing (PDPP) architecture can mitigate mismatch losses among PV strings. This article presents a comprehensive dynamic ...