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INTRODUCTION
FPGAs, or field programmable gate arrays, are being used in more and more aerospace and defence-related applications. The FPGA is a semiconductor device that may be customised for product features and functions, new standards, and particular applications after production.
An integrated circuit called a Field Programmable Gate Array (FPGA) comprises internal hardware blocks with user-programmable interconnects that can be adjusted to operate in a particular way for a given application.
The flexibility to let clients construct chips in any size or configuration array they need is one of embedded FPGAs primary advantages. With their numerous gates, FPGAs are one type of programmable digital processor that enables systems designers to quickly and easily customise the device for security, functionality, power consumption, and other advantages.
The fundamental benefit of an FPGA over a discrete circuit or Application Specific IC (ASIC) equivalent is the simplicity with which its functionality may be altered once a product has been designed. Additionally, FPGA can be more energy efficient than a comparable discrete device and use less board area.
Global Aerospace FPGA Market Size And Forecast
The global aerospace FPGA market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
NEW PRODUCT LAUNCH
The first 20-nanometer (nm) space-grade FPGA has been unveiled by Xilinx, Inc., offering full radiation tolerance, ultra-high throughput, and bandwidth performance for satellite and space applications.
The new 20 nm Radiation Tolerant (RT) Kintex UltraScale XCKU060 FPGA offers full radiation tolerance across all orbits, real infinite on-orbit reconfiguration, and over a 10x boost in digital signal processing (DSP) speed, which is perfect for payload applications.
High performance machine learning (ML) is also introduced to space for the first time with the XCKU060. Neural network inference acceleration for real-time on-board processing in space is made possible by a broad range of ML development tools that support industry standard frameworks like TensorFlow and PyTorch. This provides a total “process and analyse” solution.
With 5.7 tera operations per second (TOPs) of peak INT8 performance tuned for deep learning, the XQRKU060’s dense, power-efficient compute with scalable precision and huge on-chip memory offers a roughly 25X improvement over the previous generation.
The introduction of the first 20 nm part for space applications advances the space industry by three process node generations and builds on Xilinx’s long history in space and its extremely successful 65nm space-grade devices. It has been designed with strong radiation tolerant features and significantly reduces size, weight, and power.
Customers can purchase the XCKU060 to get a space-resilient device that can handle both short- and long-duration trips in hostile space conditions.
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