Strictly speaking, a scalar is a 0 x 0 tensor, a vector is 1 x 0, and a matrix is 1 x 1, but for the sake of simplicity and how it relates to tensor cores in a graphics processor, we'll just deal ...

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, ...

Liqid Matrix software delivers disaggregated composability for NVIDIA A100 Tensor Core GPUs with increased utilization, flexibility, and time to value for AI+ML, HPC, and other high-value ...

We look at Google’s TPUs – tensor processing units – and ask what makes them different to CPUs, GPUs and DPUs, as well as how you can take advantage of them in AI processing.