
Liqid Launches Its Own Systems, Chases AI And HPC
To hardware or not to hardware, that is a real question for vendors peddling all kinds of software in the datacenter. …
To hardware or not to hardware, that is a real question for vendors peddling all kinds of software in the datacenter. …
Paid Post There’s no doubt that the repurposing of GPU silicon has accelerated the development of artificial intelligence technology over the last decade. …
Hold on a second. Nvidia’s sales of chips and systems to supercomputer centers are not as big as we might be thinking. …
While we are big fans of laissez faire capitalism like that of the United States and sometimes Europe — right up to the point where monopolies naturally form and therefore competition essentially stops, and thus monopolists need to be regulated in some fashion to promote the common good as well as their own profits — we also see the benefits that accrue from a command economy like that which China has built over the past four decades. …
There is a growing number of vendors big and small going hard to the hoop to make processors for artificial intelligence workloads. …
Artificial intelligence is taking center stage in the IT industry, fueled by the massive growth in the data being generated and the increasing need in HPC and mainstream enterprises for capabilities ranging from analytics and automation. …
Everyone knows that machine learning inference is going to be a big deal for commercial applications in the years ahead, but no one is precisely sure how much inference is going to be needed. …
It is hard to imagine how anyone could run Nvidia better than it is being run right now. …
It is a good thing for Nvidia that most of the hyperscalers in the world – or at least the ones that matter – also have substantial public cloud businesses. …
Having to install a new kind of systems software stack and create applications is hard enough. …
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