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Cavium (now Marvell) is the next hope for ARM-based CPUs in the data centerJuly 17, 2018In 2017, Cavium, Qualcomm, and Applied Micro were all sampling ARM-based SoCs targeted at data center servers. With Applied Micro spinning off its server CPU business to newly founded Ampere Computing and Qualcomm demonstrating no tangible design wins after announcing commercial availability for its Centriq SoC in November 2017, hopes for success of an ARM-based CPU ecosystem moved to Cavium, and in 2017 Cavium kept the design wins and partnership announcements coming. In January, Atos announced Cavium’s ThunderX2 will power its HPC for the EU-funded Mont Blanc project. In March, Cavium announced a partnership with Microsoft and in November revealed designs for a Cavium-powered Project Olympus OCP server. In May, Gigabyte, Ingrasys, and Inventec announced and subsequently launched new servers based on ThunderX2. In June, Penguin announced its Open Compute server lineup will feature a ThunderX2 sku. Clients, please log in to view the full content.Subscribers Only
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AMD partners with HPE and Dell EMC, turns up the heat on IntelFebruary 13, 2018In 2017, AMD changed the market dynamic for entry-level enterprise servers with its EPYC SoC, providing not just healthy competition but also opportunities for new designs utilizing the large number of memory channels and high I/O bandwidth available with EPYC. OEMs like Supermicro, Sugon, and Asus and white box server vendors like Wiwynn, Inventec, Gigabyte, and Tyan quickly backed EPYC, introducing over a dozen server models based on AMD’s SoC in 2H17. CSPs (cloud service providers) also embraced EPYC with Microsoft, Baidu, Tencent and JD.com all adopting EPYC-based servers. Baidu in particular boosted EPYC’s credibility in the market as it implemented a new 1-socket server design that utilizes EPYC’s memory channels and I/O bandwidth. Clients, please log in to view the full content.Subscribers Only
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Moore’s law still alive in the data center, but is it enough?January 09, 2018When Gordon Moore made the observation that the number of transistors in an integrated circuit doubles every two years, known as Moore’s law, he also predicted technological limitations would eventually lead to the end of this era, with successive generations either seeing less than 2x growth in transistor count or taking longer than two years. An argument that we have already reached these limitations is currently supported by the lag between Intel’s 14 nm and 10 nm PC CPU introduction. Additionally, silicon manufacturers have questioned the investment required to maintain Moore’s law, with Samsung reporting Moore’s law affordability challenges in 2016 and TSMC’s quarterly earnings showing wafer revenue from advanced process technology dropping between 2008 and 2016. Clients, please log in to view the full content.Subscribers Only
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Cognitive Computing in HealthcareNovember 19, 2015The stigma around using artificial intelligence has led to the term ‘cognitive computing’. As excitement and, quite frankly, the need for data mining and analysis engines grows, it is being viewed differently by the healthcare community. There are two reasons why cognitive computing will be welcomed in the healthcare market.
