English
Apple, Samsung Reportedly Ink 14-nm Foundry Deal
Dylan McGrath, EETimes
7/15/2013 03:08 PM EDT
SAN FRANCISCO -- South Korea's Samsung Electronics Co. Ltd. will build 14-nm processors for future Apple Inc. iPhones and iPads under the terms of a deal signed over the weekend, according to a report by the Korea Economic Daily.
According to the report, Samsung will build 14-nm A9 processors for Apple with FinFET process technology starting in 2015. The A9 will be used in Apple's iPhone 7.
Apple has used Samsung as its chip-making foundry since it started designing its own custom processors for its smartphones and tablets several years ago. But the relationship between the two companies has become strained in the past couple of years, including several high-profile patent litigations in several countries.
|
E-mail This Article | 
|
|
Printer-Friendly Page |
Related News
- Synopsys' Custom Compiler Enabled for Samsung Foundry's 14-nm FinFET Process
- Synopsys' IC Validator Certified by Samsung Foundry 14-nm Process for Signoff Physical Verification
- Synopsys Collaborates with Samsung Foundry to Develop DesignWare IP for Samsung 8-nm FinFET Process
- Samsung Reportedly Mulls Foundry Spinoff
- Samsung's 14 nm LPE FinFET Transistors
Breaking News
- TSN Switch IP for GbE (10GbE)
- Vervesemi Data converters for 5G applications Now Available on 8nm Process
- 100 IC Wafer Fabs Closed or Repurposed Since 2009
- Vidatronic and Everest Sales and Solutions Join Forces to Expand Sales Coverage Through Mexico and Central America
- Software-Based Encryption at Hardware Level for IoT Security delivered by IKV, based on Intrinsic ID's BroadKey
Most Popular
- Vervesemi Data converters for 5G applications Now Available on 8nm Process
- Synopsys above ARM in IP licensing revenue in 2019
- SiFive Selects Synopsys Fusion Design Platform and Verification Continuum Platform to Enable Rapid SoC Design
- Stop, Cut or Maintain European Chip Production Amid Covid-19
- Achronix Selects Synopsys' Leading DesignWare IP Solutions to Accelerate Development of High-Performance Data Acceleration FPGA