Skip to main content

Aerospace & Defense

 
FRACTALS Logo
FRACTALS is a Program between
GSI Technology and SHREC.

GSI Technology's inaugural projects in the Aerospace and Defense industry are groups of Radiation-Hardened and Radiation-Tolerant synchronous SRAMs:
 

  • A family of SigmaQuad-II+ products: available in 288Mb, 144Mb, and 72Mb densities, x18 and x36 configurations, On-Die Termination (ODT), and up to 350 MHz performance

 

  • A family of SyncBurst & NBT products: available in 144Mb, 72Mb, and 36Mb densities, x18 and x36 configurations, and up to 333 MHz performance


These Rad-Hard SRAMs are expected to serve as a critical element for advanced systems that leverage leading-edge FPGAs, ADCs, and DACs; but until now lacked the high density, high performance, and power efficiency that our outstanding memory products bring. These devices are qualified to Class-Q and Class-V levels to meet the rigorous requirements of aerospace and defense customers. 


For our satellite and defense customers that have been anxiously awaiting an alternative to current Rad-Hard memory solutions, our Rad-Hard SRAMs leverage our proven commercial technology and architecture with radiation-hardening, creating an efficient, high performance, leading-edge memory at the 40nm technology node.

For less robust applications, GSI offers Radiation-Tolerant SRAMs, as well.


For more information regarding this exciting new technology, please contact GSI at aerospace@gsitechnology.com.

Articles--NEW!
Why Space Needs Artificial Intelligence
Radiation Tolerance Meets Commercial Space
Sales Briefs
GSI Technology Takes On DSP With Deep Learning Molecular Search with the Gemini Associative Processing Unit Facial Recognition with the Gemini Associative Processing Unit
Whitepapers
In-Memory Acceleration for Big Data Gemini APU:  Enabling High Performance Billion-Scale Similarity Search
Introducing a Facial Recognition Solution In-Place Associative Computing:  A New Concept in Processor Design In-Place Associative Computing:  An Introduction to the APU Software In-Place Computing:  Scaling to 1M Similarity Searches per Second
Blogs
A Beginner's Guide to Segmentation in Satellite Images Getting Started with Satellite Data Processing
Classification with Similarity Search: Fast and Accurate Radio Wave Classification Radio Wave Classifier In Python: How I Built A ResNet Radio Wave Classifier With Keras Deep Learning For Radio Waves: Using Residual Neural Networks For Signal Classification An Overview Of Signal Classification: From Fourier Transforms To Deep Neural Networks
Rad-Hard Datasheets
Burst of 2
SigmaQuad-II+
(288Mb/144Mb/72Mb)
Burst of 4
SigmaQuad-II+
(288Mb/144Mb/72Mb)
Synchronous Burst
(144Mb/72Mb/36Mb)
No Bus Turnaround
(144Mb/72Mb/36Mb)
Rad-Tolerant Datasheets
Burst of 2
SigmaQuad-II+
(288Mb/144Mb/72Mb)
Burst of 4
SigmaQuad-II+
(288Mb/144Mb/72Mb)
Synchronous Burst
(144Mb/72Mb/36Mb)
No Bus Turnaround
(144Mb/72Mb/36Mb)
Brochure
Military Temp Brochure
Presentation
The Aerospace Corp Space Parts Working Group Presentation
(April 2017)