Huawei to end production of leading edge mobile chipsets
By David Manners, Electronics Weekly (August 10, 2020)
Huawei is to end production of its top-of-the- range Kirin mobile processors in September, according to Caixin Global, the Chinese state news site.
“From Sept. 15 onward, our flagship Kirin processors cannot be produced,” Richard Yu (pictured) CEO of Huawei’s consumer unit said at the recent Mate 40 launch, “our AI-powered chips also cannot be processed. This is a huge loss for us.”
The US has barred any fab which uses US manufacturing equipment from making chips for Huawei’s chip subsidiary HiSilicon.
E-mail This Article | Printer-Friendly Page |
Related News
- First Generation SiMa.ai Edge AI Platform Enters Mass Production Amidst Surge in Company Momentum
- Flex Logix Announces Production Availability of InferX X1M Boards for Edge AI Vision Systems
- Flex Logix Announces Production Availability Of InferX X1 PCIe Boards for Edge AI Systems
- Global Smartphone Production Expected to Reach 1.36 Billion Units in 2021 as Huawei Drops Out of Top-Six Ranking, Says TrendForce
- Mobile Semiconductor's Enhanced Memory Compilers Dramatically Improve Power On Edge AI Devices
Breaking News
- After TSMC fab in Japan, advanced packaging facility is next
- A System On Module (SoM) developed by Electra IC: BitFlex-SPB-A7 FPGA SoM
- Weebit Nano to demo its ReRAM technology on GlobalFoundries' 22FDX® platform
- SoC Secure Boot Hardware Engine IP Core Now Available from CAST
- QuickLogic and Zero-Error Systems Partner to Deliver Radiation-Tolerant eFPGA IP for Commercial Space Applications
Most Popular
- Former Moortec executives create chip monitor startup
- PrimisAI Unveils Premium Version of RapidGPT, Redefining Hardware Engineering
- Arteris Expands Ncore Cache Coherent Interconnect IP To Accelerate Leading-Edge Electronics Designs
- Arm Announces New Automotive Technologies to Accelerate Development of AI-enabled Vehicles by up to Two Years
- Arm's Broadest Ever Automotive Enhanced IP Portfolio Designed for the Future of Computing in Vehicles