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

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

From Kaby Lake to Core Ultra, we revisit Intel's flagship CPUs to see how a decade of design choices shaped performance, ...

Oracle tackles database infrastructure with its Globally Distributed AI Database, aiming to ensure zero data loss for mission ...

These are the lower-end counterparts to the Panther Lake chips. Following the very successful recent release of its Core ...

Rethinking the Inference Stack. Most AI inference optimisation focuses on individual layers such as model compression or cache tuning. SHIP instead reworks the entire inference li ...

Laptops powered by the Qualcomm Snapdragon X2 Elite go on sale soon and we've taken two machines for a spin through an array of benchmarks.

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.

With the gradual deployment of local inference and large language models, AI model execution is increasingly constrained by ...

After trying these boomless headphones in the office, I'm feeling hopeful for the future of work tech ...

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