It has been difficult for the supercomputing community to watch the tools they have honed over many years get snatched up by a more commercially-oriented community like AI and popularized. …
Most companies in the HPC space have made the natural transition to moving into the deep learning and AI space over the last couple of years. …
Pathology laboratories are big data environments. However, these big data are often hidden behind expert humans who manually and with great care visually parse large complex and detailed datasets to provide critical diagnoses. …
When it comes to deep learning chip startups, hype moves fast but crossing the finish line to real production silicon takes an incredibly long time. …
As history reveals, building a thriving systems business in HPC is no simple task. …
This year at the GPU Technology Conference (GTC18) our roaming camera crew was lucky enough to catch Dolly Wu, vice president and general manager of Inspur’s Datacenter/Cloud division. …
The challenge with many of the complex modern technologies that are coming into datacenters is making them easy and cheap enough for enterprises to use at a their own scale, which is much more limited than that of hyperscalers and cloud builders, and employing their own skillsets, which are also more limited. …
Like any emerging technology, artificial intelligence and various components like machine learning and deep learning are getting a lot of hype, with a continuous flow of analyst reports and news stories detailing how they all will change how business is done, research is conducted and operations are run. …
There are several competing processor efforts targeting deep learning training and inference but even for these specialized devices, the old performance ghosts found in other areas haunt machine learning as well. …
Nvidia got a little taste of hardware, and the company’s top brass have decided that they like having a lot of iron in their financial diet. …
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