S-A1760 Venus™ | Radiation-characterized Space AI GPGPU
The S-A1760 is based on Aitech’s popular A176 and uses the same NVIDIA® Jetson™ TX2i SoM with 256 CUDA cores.
The S-A1760 is based on Aitech’s popular A176 and uses the same NVIDIA® Jetson™ TX2i SoM with 256 CUDA cores.
Anthony Lai, Aitech’s Business and R&D Director for Space, gives an in-depth overview of the brand-new space ruggedization levels from the Series 100 to 500,
Radiation-characterized COTS system qualified for use in small sat clusters and short-duration spaceflights S-A1760 Venus Technical Specifications Suitable for the next generation of short
As if space missions are not exciting enough, enter Artificial Intelligence! Artificial Intelligence (AI) has already demonstrated significant advantages in faster autonomous decision making, broader
The space industry is growing rapidly as commercial entities join government agencies in the growing area of ‘New Space.’ Innovation has made it more cost
Successful LOFTID Mission First Use of GPGPU in Space LOFTID launches new era of re-entry, reuse of space electronics for improved cost-efficiencies S-A1760 Venus: most
https://youtu.be/OIOHVfr8DnM On the occasion of the 37th Space Symposium, Aitech’s Business Development and R&D Director for Space, Anthony Lai, walks you through the company’s latest
https://youtu.be/HoGo3sqqo8w Learn about Aitech’s revolutionary space innovations from Pratish Shah, General Manager, Aitech USA. Filmed at the 37th Space Symposium, Pratish reviews Aitech’s extensive space-characterized
New COTS-based products enable faster integration, improved time to market for evolving next-gen space electronics Chatsworth, Calif. March 2022 – Aitech, a leading provider
Explore Aitech’s Space Digital Backbone (DBB) that provides a unified, connected communication infrastructure for the increasing number of digital technologies being implemented throughout space technologies.
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