Former NASA Exec Brings Stealth Machine Learning Chip to Light
Chip startups come and go. Generally, we cover them because of novel architectures or potential for specific applications. …
Chip startups come and go. Generally, we cover them because of novel architectures or potential for specific applications. …
During a trip to Dell in Austin, Texas this week, little did The Next Platform know that the hardware giant and nearby Texas Advanced Computing Center (TACC) had major news to share on the supercomputing front. …
Back in 2009, when yours truly was assigned the primary beat of covering supercomputing on remote hardware (then dubbed the mysterious “cloud”), the possibility that cloud-based high performance computing was little more than a pipe dream. …
Computing for neuroscience, which has aided in our understanding of the structure and function of the brain, has been around for decades already. …
Having made the improbable jump from the game console to the supercomputer, GPUs are now invading the datacenter. …
Don’t just call it “the cloud.” Even if you think you know what cloud means, the word is fraught with too many different interpretations for too many people. …
Having access to fairly reliable 10-day forecasts is a luxury, but it comes with high computational costs for centers in the business of providing predictability. …
For those in enterprise circles who still conjure black and white images of hulking supercomputers when they hear the name “Cray,” it is worth noting that the long-standing company has done a rather successful job of shifting a critical side of its business to graph analytics and large-scale data processing. …
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. …
At the tail end of Google’s keynote speech at its developer conference Wednesday, Sundar Pichai, Google’s CEO mentioned that Google had built its own chip for machine learning jobs that it calls a Tensor Processing Unit, or TPU. …
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