Radiation Hard AI Memory for Space Applications
H. Puchner, V. Agrawal, M. Iskarus1
1 Infineon Technologies, San Jose, CA, USA
We will present the fundamental capabilities of our SONOS charge trapping memory with respect to radiation tolerance and discretization capability which allows SONOS to be the only true radiation hard analog memory. We have demonstrated up to 64 levels of discretization without significant read disturb and excellent data retention. Several neural network model implementations will be presented to showcase the capability of the analog memory AI implementation for edge inference. In memory compute performance of up to 50 TOPS/W is achievable with this technology. SONOS is currently the only matured solution in a radiation and power limited space for AIM (AI Memory) implementation.
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