Dell took a look at the two weeks between the rollouts by AMD and Intel of their latest server processors and, after some debate, decided to unveil its entire portfolio of new and enhanced systems – featuring the new chips from both vendors – at the launch of AMD’s latest Epyc silicon rather than announce servers in line with the chip makers’ timing. …
SPONSORED Mention GPUs these days, and you will naturally think about how they can accelerate the most challenging AI and machine learning workloads as well as how they are used in gaming platforms. …
Since a big chunk of the IBM HPC team moved over to Lenovo as part of the System x division being acquired by Lenovo back in late 2014, which coincided when we started The Next Platform, we have made a habit of talking to Scott Tease, executive director of high performance computing at Lenovo, to take the pulse of the volume segment of the HPC space. …
Artificial intelligence and machine learning are foundational to many of the modernization efforts that enterprises are embracing, from leveraging them to more quickly analyze the mountains of data they’re generating and automating operational processes to running the advanced applications – like natural language processing, speech and image recognition, and machine vision – needed by a broad array of industries, from financial services, agriculture, healthcare and automotive. …
Artificial intelligence is a broad area, covering diverse fields such as image recognition, natural language processing (NLP), and robotics. …
Kamran Amini was an executive at IBM in the mid-2000s when the company first put AMD’s then-relatively new Opteron processors into some of its System x servers. …
In the ever-evolving landscape that is the edge, applications are the driving force. …
Sundar Pichai, CEO of Google and parent company Alphabet, generated a lot of buzz recently with an op-ed he wrote for the The Financial Times calling for greater regulation of artificial intelligence (AI) technologies, adding a high-profile voice into a debate that has been simmering as innovation around AI, machine learning and deep learning have advanced rapidly. …
When talking about auto racing, everything eventually boils down to speed. …
At every key leap in processing capacity in high performance computing – and just rattling off more than two decades from teraflops through petaflops, and now on the verge of exaflops in two years or so – there has been this tension between custom-built systems that break through performance barriers and more general purpose machines based on more off of the shelf components that cost less and tend to be fast followers. …
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