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FPGAs, Microcontrollers and Embedded Processors
Engineers are frequently faced with a choice: FPGA or Microcontroller? Learn the key differences between these solutions, including applications and benefits of each.
October 19, 2023
Hardware Architectural Options for Artificial Intelligence Systems
With smart sensors creating data at an ever-increasing rate, it is becoming exponentially more difficult to “consume” and make sense of the data to extract relevant insight. In this blog, we will discuss the role that FPGAs have to play in this rapidly evolving field.
July 06, 2023
RISC-V and Custom Instruction Acceleration on Efinix FPGAs
Read our tutorial on building a custom ISA with RISC-V. With this tutorial, we’ll show how to build custom instructions in RISC-V on top of the existing open standard.
March 07, 2023
The Efinix TinyML Platform
Efinix TinyML Platform delivering, for the first time, an intuitive and fast time-to-market way to create, optimize and deploy artificial intelligence (AI) models on efficient FPGA devices at the far edge of the network.
December 20, 2022
The Edge is a Dangerous Place: Security Considerations
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
FPGAs: Blending Data and Context to Deliver Local Insight
FPGAs can play an important role in edge computing, becoming application-specific processors and giving much lower latency when local context is needed.
September 30, 2022
Let’s Try that Again: FPGAs Are Hardware’s Software Update
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
