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Explore how Efinix stood out in this quick Q&A with our team, from AI and edge insights to customer trends in performance and power.
August 5, 2025
In the rapidly evolving world of microelectronics, there is a relentless push to reduce size and power consumption while increasing compute capability and throughput. Smart edge devices, the internet of things and now Edge AI have only accelerated this trend.
July 22, 2025
Learn how AI supported by Efinix's FPGA technology is breaking new ground.
December 16, 2024
Innovation and insights from Efinx® shaping what's next in FPGAs.
December 13, 2024
Energy efficiency starts at the hardware level.
December 13, 2024
Learn the key differences between these solutions.
October 19, 2023
Explore how FPGAs enable efficient data processing in AI systems driven by high-speed sensor data.
July 06, 2023
Learn how to build a custom ISA with RISC-V.
March 07, 2023
Enabling fast, intuitive AI development on low-power FPGAs at the edge with the Efinix tinyML Platform.
December 20, 2022
Security in edge computing is achieved at the hardware level and at the software level. The right chipset will help ensure security of your edge systems.
October 7, 2022
View how FPGAs enable low-latency, application-specific processing for real-time edge computing.
September 30, 2022
FPGAs offer a strategy for building and deploying reconfigurable hardware that can be updated at the hardware and software levels. Learn more here.
September 23, 2022
Learn how FPGAs enable hardware-level security and innovative application security measures simultaneously, making it impossible to access exposed data.
September 16, 2022
Where are edge computing and embedded AI converging? FPGAs are enabling AI at the edge as localized AI inference capabilities enable high-compute applications.
September 9, 2022
FPGAs are useful for much more than prototyping. Today’s advanced FPGAs provide a reconfigurable hardware platform that beats any application processor design.
September 2, 2022
When designers start looking for processing power for their systems, they only have a few options: MCUs/MPUs, a custom SoC, or FPGAs.
Edge computing is a trend in networking development moving compute away from data centers and closer to end users. FPGAs support newer edge computing systems.
The RISC-V architecture is sweeping the embedded world and is making its way into FPGA development. New vendor IP from innovative FPGA manufacturers now implements RISC-V in FPGAs for more efficient high-density compute.
See how FPGAs can be used in embedded AI systems for powerful on-device inference and training in advanced applications.