Perhaps, many years hence, we will call the company that, more than any other, created the enterprise computing environment ...
Training deep neural networks is one of the more computationally intensive applications running in datacenters today. ...
Intel has moved a step closer to commercial neuromorphic computing with the development of a 64-chip system that provides ...
For The McLaren Group, it’s all about speed. Born in 1963 as a Formula 1 race car company, it initially was about speed on ...
Without the right kind and the right amount of I/O between the components of a system, all of the impressive feeds and speeds ...
While accelerators have been around for some time to boost the performance of simulation and modeling applications, ...
In 1985, the Institute of Electrical and Electronics Engineers (IEEE) established IEEE 754, a standard for floating point ...
As it was emerging, cloud computing was seen as a fairly straight-up proposition for enterprises of finding a cloud, putting applications and data into it and running and storing it all on someone ...
The alliance between high performance computing and artificial intelligence is proving to be a fruitful one for researchers looking to accelerate scientific discovery in everything from climate ...
Given our focus on the systems-level of AI machine building, storage was a big topic of discussion at the sold-out Next AI Platform event we hosted in May. It was difficult to leave out where NVMe ...
If there is anything we are learning about the emerging chip ecosystem for AI inference, it is that it is vast, rapidly evolving, and incredibly diverse. This is great news for the end user and vendor ...
Wave Computing was one of the earliest AI chip startups that held significant promise, particularly with its initial message of a single architecture to handle both training and inference. The problem ...