http://www.tsmc.com/tsmcdotcom/PRListingNewsAction.do?action=detail&newsid=9001&language=E
"Hsinchu, Taiwan, R.O.C. – November 12, 2014 – TSMC (TWSE: 2330, NYSE: TSM) today announced its 16-nanometer FinFET Plus (16FF+) process is now in risk production. This enhanced version of TSMC’s 16FF process operates 40% faster than the company’s planar 20-nanometer system-on-chip (20SoC) process, or consumes 50% less power at the same speed. It offers customers a new level of performance and power optimization targeted at the next generation of high-end mobile, computing, networking, and consumer applications."
"The 16FF+ process is on track to pass full reliability qualification later in November, and nearly 60 customer designs are currently scheduled to tape out by the end of 2015. Due to rapid progress in yield and performance, TSMC anticipates 16FF+ volume ramp will begin around July in 2015."
"NVIDIA and TSMC have collaborated for more than 15 years to deliver complex GPU architectures on state-of-the-art process nodes,” said Jeff Fisher, Senior Vice President, GeForce Business Unit, NVIDIA. “Our partnership has delivered well over a billion GPUs that are deployed in everything from automobiles to supercomputers. Through working together on the next-generation 16nm FinFET process, we look forward to delivering industry-leading performance and power efficiency with future GPUs and SOCs.”
This process node is going to bring some amazing technology products from Nvidia, AMD, Qualcomm, Apple. 16FF+ is a massive leap from 28HPM which is the current node for mobile chips like Snapdragon 805 and GPUs like GTX 980. I cannot wait to see products built on 16FF+ which will start appearing in late 2015 and early 2016.
At same power (TSMC 16FF+ is roughly 40% faster than 20SOC)
TSMC 16FF+ - 1.60x
TSMC 16FF - 1.40x
TSMC 20SOC - 1.15x
TSMC 28HPM - 1.00x
At same perf
TSMC 16FF+ - 0.35x
TSMC 16FF+ - 0.45x
TSMC 20SOC - 0.70x
TSMC 28HPM - 1.00x
The power/perf relation between 16FF, 20SOC and 28HPM is derived from the below presentation (slide 19)
http://www.eda.org/edps/edp2013/Papers/4-4 FINAL for Tom Quan.pdf
"Hsinchu, Taiwan, R.O.C. – November 12, 2014 – TSMC (TWSE: 2330, NYSE: TSM) today announced its 16-nanometer FinFET Plus (16FF+) process is now in risk production. This enhanced version of TSMC’s 16FF process operates 40% faster than the company’s planar 20-nanometer system-on-chip (20SoC) process, or consumes 50% less power at the same speed. It offers customers a new level of performance and power optimization targeted at the next generation of high-end mobile, computing, networking, and consumer applications."
"The 16FF+ process is on track to pass full reliability qualification later in November, and nearly 60 customer designs are currently scheduled to tape out by the end of 2015. Due to rapid progress in yield and performance, TSMC anticipates 16FF+ volume ramp will begin around July in 2015."
"NVIDIA and TSMC have collaborated for more than 15 years to deliver complex GPU architectures on state-of-the-art process nodes,” said Jeff Fisher, Senior Vice President, GeForce Business Unit, NVIDIA. “Our partnership has delivered well over a billion GPUs that are deployed in everything from automobiles to supercomputers. Through working together on the next-generation 16nm FinFET process, we look forward to delivering industry-leading performance and power efficiency with future GPUs and SOCs.”
This process node is going to bring some amazing technology products from Nvidia, AMD, Qualcomm, Apple. 16FF+ is a massive leap from 28HPM which is the current node for mobile chips like Snapdragon 805 and GPUs like GTX 980. I cannot wait to see products built on 16FF+ which will start appearing in late 2015 and early 2016.
At same power (TSMC 16FF+ is roughly 40% faster than 20SOC)
TSMC 16FF+ - 1.60x
TSMC 16FF - 1.40x
TSMC 20SOC - 1.15x
TSMC 28HPM - 1.00x
At same perf
TSMC 16FF+ - 0.35x
TSMC 16FF+ - 0.45x
TSMC 20SOC - 0.70x
TSMC 28HPM - 1.00x
The power/perf relation between 16FF, 20SOC and 28HPM is derived from the below presentation (slide 19)
http://www.eda.org/edps/edp2013/Papers/4-4 FINAL for Tom Quan.pdf
