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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