While the prospect of a quantum notebook or mobile phone look a very long way off, it’s likely that quantum computers will be widespread in academic and industrial settings – at least for certain applications – within the next three to five years.
Omdia’s Data Center Server Market Tracker notes red-hot competition in the high-performance semiconductor space; server revenue is projected to grow by 11% to $92B.
GTC Spring announcements aim for AI computing at the top and bottom of the spectrum.
Tightly integrated with Nvidia GPUs, the company’s first CPU is meant for the near future when AI models reach trillions of parameters.
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.
