Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

An AI tool improves processor speed by studying cache use and helping make memory decisions without repeated testing and ...

Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.

Leading Market Intelligence Program Honors Innovation in Analytics, AI, DataOps and Next-Generation Data Technologies ...

Most distributed caches force a choice: serialise everything as blobs and pull more data than you need or map your data into a fixed set of cached data types. This video shows how ScaleOut Active ...

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...

Recent industry trends, including the release of NVIDIA’s Rubin platform (developer.nvidia.com), point to a growing consensus that AI inference is reshaping data center architecture in a fundamental ...

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...