Freescale, Cisco, Ciena Give Nod to FD-SOI
Junko Yoshida, EETimes
3/1/2015 06:35 PM EST
SAN FRANCISCO, Calif. and NUREMBERG, Germany — Freescale, Cisco and Ciena have defied the general skepticism of fully-depleted silicon-on-insulator (FD-SOI) by revealing their own experience with the process technology, creating expectations that more companies might follow.
Freescale Semiconductor last week during the Embedded World conference in Nuremberg, Germany, acknowledged that it’s designing chips with FD-SOI process technology.
Geoff Lees, Freescale’s senior vice president and general manager responsible for microcontrollers, told EE Times the company’s plan to use 28nm FD-SOI for its next generation microprocessor iMX7.
A principle engineer at Cisco Systems, last Friday (Feb. 27), also discussed Cisco’s experience with FD-SOI process technology in a panel at the FD-SOI workshop in San Francisco.
|
|
E-mail This Article |
|
Printer-Friendly Page |
Related News
- CEA-Leti Demonstrates Embedded FeRAM Platform Compatible with 22nm FD-SOI Node
- Scale FD-SOI to 7nm? Yes, We Can
- Weebit Nano tapes-out first 22nm demo chip
- Attopsemi's I-fuse OTP IP Qualified and Available on GLOBALFOUNDRIES 22FDX FD-SOI Platform
- CEA-Leti & Dolphin Design Report FD-SOI Breakthrough that Boosts Operating Frequency by 450% and Reduces Power Consumption by 30%
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






