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Why not use M2 or mini-PCI TPU on embedded computers?

 

TPUs and GPUs on M2 or mini-PCI cards inserted inside an embedded computer seem to be an easier solution than an edge-server connected with USB3. The main problem with this solution is related to the difficulty of obtaining effective thermal dissipation with passive cooling systems in IP68 and MIL-STD-810H computers. This issue is really very important when the TPU has to run at the maximum clock frequency for long periods of time.

For this reason, rugged edge-servers are the most flexible solution to accelerate AI in the aerospace, avionics and military sectors.

 

 

Testing setup for MIND™ as AI acceleration server of the ATM CENTURION®

 

 

MIND™ connected to ATM CENTURION® in our lab

 

 

TensorFlow Testing Environment and thermal camera monitoring of 4xTPU

 

 

 

 

LUCA MARCHESE

Aerospace_&_Defence_Machine_Learning_Company

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Email:_luca.marchese@synaptics.org

 

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