China's SMIC-Qualcomm 28-nm Deal: Why Now?
Junko Yoshida, EETimes
7/3/2014 05:11 PM EDT
MADISON, Wis. — China's largest foundry, Semiconductor Manufacturing International Corp. (SMIC), and Qualcomm, the world's most dominant baseband cellular processor company, revealed Thursday, July 3 that they are collaborating on 28-nm wafer production in China.
Under the agreement, Qualcomm will offer support to accelerate SMIC's 28-nm process maturity, while SMIC will make Qualcomm's latest Snapdragon processors on 28-nm node, both PolySiON (PS) and high-K dielectrics metal gate.
With its future growth dependent on the advancement of its 28-nm technologies, the deal marks a big win for SMIC.
Less clear is what advantages this will give to Qualcomm, other than mending the company's relationship with the Chinese government.
SMIC isn't exactly known for cutting-edge process technologies, compared to other foundry giants.
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |
|
SMIC Hot IP
Related News
- Why have all broadcast powerhouses embraced intoPIX JPEG XS? Unraveling the secret behind industry leaders' unanimous adoption!
- Is IPO in China Imagination's Only Possible Exit Path?
- Can We Believe The Hype About China's Domestic IC Production Plans?
- President Trump to rule on Lattice's China deal
- Winners & Losers of GloFo's China Deal
Breaking News
- RISC-V International Promotes Andrea Gallo to CEO
- See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit
- Andes Technology Showcases RISC-V AI Leadership at RISC-V Summit Europe 2025
- RISC-V Royalty-Driven Revenue to Exceed License Revenue by 2027
- Keysom Unveils Keysom Core Explorer V1.0
Most Popular
- RISC-V International Promotes Andrea Gallo to CEO
- See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit
- Andes Technology Showcases RISC-V AI Leadership at RISC-V Summit Europe 2025
- Ceva, Inc. Announces First Quarter 2025 Financial Results
- Cadence Unveils Millennium M2000 Supercomputer with NVIDIA Blackwell Systems to Transform AI-Driven Silicon, Systems and Drug Design