Dell's Pro Max GB300 workstation delivers the same CPU and GPU hardware that lives in NVIDIA servers to the desktop.

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...

This repository provides accurate tensor core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1]. The initial analysis of ...

Take fp64 for example, int A100 tensor core flops = 2x cuda core. However, AmgT just use 1/8 tensor core, so it's slower than cuda core.

MINISFORUM has made a name for itself by selling mini PCs that combine the processing power of a good laptop with more ports and expansion options than you’d typically get from a notebook computer.

TensorRT-LLM provides 8x higher performance for AI inferencing on NVIDIA hardware. TechRepublic Get the web's best business technology news, tutorials, reviews ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

Says bit-per-watt now on par with state-of-the-art Asics. Names go-to-market partners. Nvidia has announced a compact AI-RAN solution designed for installation at cell sites. The company released ...

TL;DR: A report reveals Intel Core Ultra Series 200 CPUs with Z890 motherboards limit PCIe Gen5 M.2 SSD speeds to 12GB/s, below the 14GB/s potential, due to higher latency from the CPU's multi-chip ...