Intel stung for $2bn in Waco judgment
By David Manners, ElectronicsWeekly (March 3, 2021)
VLSI Technology, which was bought by Philips Semiconductors (now NXP) in 1999 for $1 billion, has successfully sued Intel for patent infringement in a court in Waco, Texas and been awarded $2.18 billion damages.
The penalty for the infringement of one patent was assessed at $1.5 billion and the other was assessed at $675 million.
Intel’s lawyer, William Lee, said that VLSI “took two patents off the shelf that hadn’t been used for 10 years and said: ‘We’d like $2 billion’.”
One of the patents was issued in 2010 to SigmaTel which had been bought, in 2008, by Freescale and the other was issued in 2012 to Freescale which was bought by NXP in 2015.
E-mail This Article | Printer-Friendly Page |
Related News
- Intel said to have offered $2bn for SiFive
- Judge Orders Kilopass to Pay Sidense $5.5 Million in Legal Fees and Costs for Baseless Patent Infringement Lawsuit
- Creative to License Technology and Patents to Intel as part of a US$50 Million Deal
- Kilopass Plans to Appeal the Summary Judgment Ruling in its Patent Infringement Case Against Sidense
- InterDigital Agrees to $375 Million Patent Transaction with Intel
Breaking News
- Thalia's AMALIA 24.2 introduces pioneering estimated parasitics feature to reduce PEX iterations by at least 30%
- TSMC plans 1.6nm process for 2026
- Qualitas Semiconductor Partners with TUV Rheinland Korea to Enhance ISO 26262 Functional Safety Management System
- M31 has successfully launched MIPI C/D PHY Combo IP on the advanced TSMC 5nm process
- Ceva multi-protocol wireless IP could simplify IoT MCU and SoC development
Most Popular
- Controversial former Arm China CEO founds RISC-V chip startup
- Siemens collaborates with TSMC on design tool certifications for the foundry's newest processes and other enablement milestones
- Credo at TSMC 2024 North America Technology Symposium
- Synopsys Accelerates Next-Level Chip Innovation on TSMC Advanced Processes
- Kalray Joins Arm Total Design, Extending Collaboration with Arm on Accelerated AI Processing