Google has proven time and again it is on the extreme bleeding edge of invention when it comes to scale out architectures that make supercomputers look like toys. But what would the world look like if the search engine giant had started selling capacity on its vast infrastructure back in 2005, before Amazon Web Services launched, and then shortly thereafter started selling capacity on its high level platform services? And what if it had open sourced these technologies, as it has done with the Kubernetes container controller?
The world would be surely different, and the reason it is not is …
Why Google’s Spanner Database Won’t Do As Well As Its Clone was written by Timothy Prickett Morgan at The Next Platform.
If I could choose just a handful of skills you must learn to be a successful engineer, being metacognitive would certainly be among them. What is metacognition? OOne of my favorite books on the virtue ethic applied to mental skills defines it thus—
The concept is simple. Implementation, as always, is the hard part. Particularly as engineers, we spend a lot of time thinking about technique. We ask questions like—
These technos focused questions are great for solving day to day, or even no-so-day-to-day problems. But they aren’t so great for mental growth? Why not? Imagine you are tasked with cutting wood for a living. You might start out by simply cutting the wood. You place a piece on the block, swing the axe, and the splits fall off. You can consider this the what of cutting wood (or, for those who are interested in philosophy, the Continue reading
Much of the talk around artificial intelligence these days focuses on software efforts – various algorithms and neural networks – and such hardware devices as custom ASICs for those neural networks and chips like GPUs and FPGAs that can help the development of reprogrammable systems. A vast array of well-known names in the industry – from Google and Facebook to Nvidia, Intel, IBM and Qualcomm – is pushing hard in this direction, and those and other organizations are making significant gains thanks to new AI methods as deep learning.
All of this development is happening at a time when the …
Memristor Research Highlights Neuromorphic Device Future was written by Jeffrey Burt at The Next Platform.
Despite the emphasis on X86 clusters, large public clouds, accelerators for commodity systems, and the rise of open source analytics tools, there is a very large base of transactional processing and analysis that happens far from this landscape. This is the mainframe, and these fully integrated, optimized systems account for a large majority of the enterprise world’s most critical data processing for the largest companies in banking, insurance, retail, transportation, healthcare, and beyond.
With great memory bandwidth, I/O, powerful cores, and robust security, mainframes are still the supreme choice for business-critical operations at many Global 1000 companies, even if the …
IBM Wants to Make Mainframes Next Platform for Machine Learning was written by Nicole Hemsoth at The Next Platform.
Join HPE and its partners at the OpenNFV Partner Showcase at Booth 3E11 in Hall 3. Mobile World Congress is the world’s largest gathering for the mobile industry, organized by the GSMA and held in Barcelona, Spain.
Deutsche Telekom and SK Telecom are testing federated network slicing.
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