Nvidia sells the lion’s share of the parallel compute underpinning AI training, and it has a very large – and probably ...

You may recall learning about tensors in high school math. A scalar (0th order tensor) is a single number A vector (1st order tensor) is an array of numbers in one ...

Additionally, Tensor Cores are optimized for Matrix Multiply-Accumulate operations (solving complicated math equations) through their tile-based processing. These tiles are stacked, meaning ...

We have a few observations before we get into the numbers we have compiled and plotted out for vector and tensor units on the core compute engines out there. First, in the past, we have often spoken ...

Another “invisible” AI advancement is improvements to the training of large language models (LLMs), which have a high cost ...

NVIDIA has released its 50-series cards, and AMD has released its 9000-series cards, and everyone is very excited to buy into ...

Google says it's found a sweet spot between power and efficiency by employing the 'distillation' of neural nets.

A 38-strong group of tech players have founded a project with the snappy name Digital Autonomy with RISC-V in Europe, aka ...

The AI model was apparently trained for a total of 200 million processor hours on 100,000 Nvidia H100 Tensor Core GPUs. According to one analyst, however, “improvements over the Grok-2 model ...