It is hard to remember sometimes way back when, in 2008, as Nvidia first took a stab at GPU compute in the datacenter with the original Tesla GPU accelerators and a very rudimentary CUDA programming environment for offloading parallel algorithms from CPUs to GPUs. …
The hyperscalers and cloud builders have been setting the pace for innovation in the server arena for the past decade or so, particularly and publicly since Facebook set up the Open Compute Project in April 2011 and ramping up as Microsoft joined up in early 2014 and basically created a whole new server innovation stream that was unique from – and largely incompatible with – the designs put out by Facebook. …
A new CPU or GPU compute engine is always an exciting time for the datacenter because we get to see the results of years of work and clever thinking by hardware and software engineers who are trying to break through barriers with both their Dennard scaling and their Moore’s Law arms tied behind their backs. …
The in-person GPU Technical Conference held annually in San Jose may have been canceled in March thanks to the coronavirus pandemic, but behind the scenes Nvidia kept on pace with the rollout of its much-awaited “Ampere” GA100 GPU, which is finally being unveiled today. …
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. …
We have said more than once in recent weeks that recessions accelerate technology transitions but they do not cause them. …
The deal for Nvidia to acquire Mellanox, which was announced last March for $6.9 …
The first half of last year was relatively weak for Intel’s Data Center Group last year, but despite the coronavirus pandemic – and in some cases, we think because of it – the world’s largest datacenter chip manufacturer is looking to not only have a good first quarter, as it just turned in, but could see growth across its various data-centric businesses well into the second half of the year. …
The European Union has made it clear that it wants to be able to stand on its own two feet in the design of server processors, for both general purpose uses and for exascale-class supercomputers. …
When IBM announced that it was acquiring Red Hat for $34 billion eighteen months ago, one of the things we said that Big Blue needed most and would get from taking over – but not messing with – the world’s largest commercial open source software company was a coherent story that it could tell to its customers about how IBM, which more than any other company helped define data processing, was still relevant to the future. …
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