Changing AI math could reduce the hardware burden, researchers show

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...
EE World Online

Why small language models win at the Edge

By Pietro Antonio Ciclese, Senior Technical Marketing Engineer, Ambarella The workloads that generate the most commercial ...
note

[For CUDA 16GB] llama.cpp b9542 adds Gemma4/Qwen3 support, Qwen3-8B at Q4_K_M hits 432 prefill token/74.7 tok/s (CUDA 13.3 environment)

llama.cpp has released b9542, including pre-built binaries for CUDA 13.3 and 12.4. It includes MTP specification fixes and Gemma4 support. vLLM, alongside its 0.22.1 patch release, implemented CUDA ...