Proliferation of AI, in combination with cloud platforms making it easier to test the waters, have led more IT organizations to turn to HPC-style infrastructure.

Although HPC systems traditionally come with a high CapEx, clouds now offer a cheaper initial on-ramp – and their ability to handle demanding AI/AL workloads makes them an attractive option.

From scientists to vendors and enterprises, the computing industry needs a way to predict what’s coming and when.

An interview with Professor Jack Dongarra, creator of the benchmark used to rank the world’s fastest supercomputers.

Growth of the cumulative computing power of Top500 systems is slowing down, pushing Moore’s Law closer to obsolescence.

Researchers “have open questions that they just can’t get answered with the compute resources that they have available to them.”

The Fugaku cluster has more than 150,000 processors and roughly 2.8 times the performance of the second-fastest supercomputer, US DoE's Summit.

Future machine learning models will be enormous. The OpenAI system shows that hyperscale cloud platforms can take them on.

“You can just plug it into a server and run it at room temperature.”