GlobalFoundries begins spinning up its 14nm production

Thanks to its partnership with Samsung, GlobalFoundries has started its ramp up in production of 14nm technology.

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Samsung is already pushing out 14nm technology, using its own Galaxy S6 and Galaxy S6 edge smartphones to demonstrate its impressive new fabrication technology. But most don't know that the South Korean electronics giant has partnered with GlobalFoundries, with the latter now spinning up its production of 14nm technology.

GlobalFoundries begins spinning up its 14nm production | TweakTown.com

Mubadala Development Co. is an Abu Dhabi-based investment and development company that owns GlobalFoundries, with the company releasing a statement in regards to its 14nm production. Mubadala said: "GlobalFoundries announced a strategic collaboration with Samsung to deliver capacity at 14nm, one of the industry's most advanced nodes, as Fab 8 in Malta, New York began ramping production for customers".

Samsung developed both the 14LPE (low-power early) and 14LPP (low-power plus) technologies, licensing them to GlobalFoundries. Both of the manufacturing processes use FinFET transistors, but they still fall back on back-end-of-line (BEOL) interconnects which are fabricated on the 20nm node. Both fabrication technologies don't radically reduce costs of the chips compared to the previous-gen node, but they do provide a nice 20% boost in performance at the same power usage, or reduce power consumption by up to 35% without a performance hit.

NEWS SOURCE:kitguru.net

Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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