Training deep neural networks is one of the more computationally intensive applications running in datacenters today. Arguably, training these models is even more compute-demanding than your average ...
Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...
The chip designer says the Instinct MI325X data center GPU will best Nvidia’s H200 in memory capacity, memory bandwidth and peak theoretical performance for 8-bit floating point and 16-bit floating ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback