EFLX eFPGA enables the development of communications ICs that are smaller, 
lighter and consume lower power than using traditional FPGAs 


MOUNTAIN VIEW, Calif. – December 7, 2020 – Flex Logix® Technologies, Inc.,
supplier of the fastest and most-efficient AI edge inference accelerator and the
leading supplier of eFPGA IP, announced today that OpenFive, a leading provider of
domain-specific custom silicon solutions with differentiated IP, has licensed the
EFLX® eFPGA for use in a low power communications SoC, powerful and flexible
enough to be used in data center and edge applications, for a mutual customer of
OpenFive and Flex Logix.   


eFPGA for Communications Applications
Communications systems today are major users of FPGAs for flexibility and
reconfigurability for customization and real-time updating of protocols and algorithms.
Flex Logix's EFLX eFPGA allows systems to be smaller, lighter and lower power by
integrating the FPGA into the application-specific integrated circuit/system-on-a-chip
(ASIC/SoC) compared to the traditional method of using an external FPGA.  


“We are proud to work with OpenFive and our joint customer who extensively
evaluated Flex Logix's technology,” said Geoff Tate, CEO of Flex Logix. “Because our
eFPGA can deliver significant improvements in performance, power and
reconfigurability, we are seeing more opportunities to work with a premier custom
silicon solution provider such as OpenFive.  Customers can benefit greatly from
having RTL configurability in their ASICs.”  


“We're honored to have Flex Logix as an eFPGA partner, not only because their EFLX
eFPGA offers density, performance and the ability to do large arrays, but also because
the company has achieved many customer tape-outs in various applications including
aerospace, communications ASICs and low power MCUs,” said Shafy Eltoukhy, CEO of
OpenFive.  “Flex Logix's eFPGA offerings are also easy to integrate across most process
nodes, enabling OpenFive to deliver domain-specific custom silicon solutions with
differentiated IP that are optimized for power, performance and area.”