Flex Logix is the leading embedded FPGA (eFPGA) reconfigurable IP company that delivers self-contained, efficient, modular, and scalable Programmable IP that is easy to integrate on any process node.
eFPGA reconfigurable IP is used by systems design engineers, SoC and OEM chip designers, ASIC and design services companies who need efficient, flexible, modular, and scalable programmable IP for capacity, performance and power across foundries and nodes.
Flex Logix eFPGAs to deliver 5 to 10 times the power, performance, and cost advantages over standard FPGAs and can be deployed across many different applications including large commercial customers and many defense applications.
EFLX eFPGA is proven on many different process nodes: 6/7, 12, 16, 22, 28, 40 & more.
New strategic approach will accelerate market adoption of Flex Logix reconfigurable computing architecture, across multiple platforms Flex Logix Technologies, Inc. announced that it has opened access to its edge inference AI solutions. Available in early 2023, device manufacturers and systems companies who design chips can now license Flex Logix’s InferX AI technology, enabling broader access to the company’s eFPGA and edge inference IP solutions.
Flex Logix brings reconfigurability to customers designing for 5G, SmartNICs, computational storage, networking, data centers, base stations, AI, and machine learning Flex Logix has completed porting and delivered the EFLX 4K eFPGA IP core, both the Logic and DSP versions, on TSMC 7nm technology to its lead customer for integration into a production ASIC. By making eFPGA technology available in 7nm with the leading foundry, customers can now develop devices with integrated FPGA that can be reconfigured after tape-out to adapt to new requirements, changing standards and protocols as needed while reducing power and end system costs.
5G, networking, cloud storage, defense, smart home, automotive, and others – are looking to embedded FPGAs (eFPGA) to save power and reduce cost. All these applications demand reconfigurability with lower power/cost, but they also require strong security. Listen to this webinar recording on SemiWiki anytime!