Search engine giant Google only talks about the underlying technology that it deploys in its datacenters years after they have been commercialized and a replacement has been developed and put into use. …
With the upcoming “Knights Landing” chip from Intel, the company is not only creating a follow-on motor for its Xeon Phi coprocessors, which are used as accelerators in conjunction with X86 processors inside servers. …
If you can’t beat them, join them. That is the old adage that compelled server juggernaut Hewlett-Packard to strike a partnership with original design manufacturer Foxconn last year for a new line of minimalist servers that HP could sell against other ODM upstarts that have stormed the datacenters of hyperscale and cloud service providers in recent years. …
The first Xeon processor aimed at datacenter workloads that is based on Intel’s “Broadwell” core has been launched. …
The first of the server processors based on Intel’s “Broadwell” cores and using its 14 nanometer chip making processes comes to market today. …
Sometimes it takes a bit of tweaking to make a technology that is created for supercomputing centers more suitable for high-end enterprise customers, even sophisticated ones that are not afraid to take risks and try something different. …
The best ideas are usually the oldest ones, thought up by early geniuses and perfected incrementally by others, and this is no less true in computing. …
The graphics processor business was humming along as Nvidia ended its fiscal 2015 year in late January. …
Timothy Prickett MorganCo-Editor, Co-Founder, The Next Platform
Timothy Prickett Morgan brings 32 years of experience as a publisher, IT industry analyst, editor, and journalist for some of the world’s most widely-read high-tech and business publications including The Next Platform, EnterpriseTech, The Register, BusinessWeek, Midrange Computing, IT Jungle, Unigram, The Four Hundred, ComputerWire, Computer Business Review, Computer System News and IBM Systems User. …
From processors, memory, network, and beyond, making architectural choices to support large-scale genomics research is often fed as much by trial and error as it is empirical knowledge about what will work for a demanding application set. …
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