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Back to school for me?Thought it was 80 npu's in the fabric and...

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Green56FJ

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02/11/21

19:46

Post #: 57266022
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Originally posted by uiux: ↑

Not really

the Akida nsoc has 80 nodes in the neural mesh

each node consisting of 4 npus

the recent car demonstration video showed Akida running 3 separate networks (keyword spotting / person detection / face recognition)

each of these networks take up X nodes in the neural fabric. Since these networks fit under 80 npus, they could all execute in the one pass. (Try doing that Syntiant)

if the system only had 2 nodes, you could still process the inference but it would only be able to process 2 nodes out of the X nodes required per pass, introducing latency as it processes 2 nodes at a time until the whole network has been processed.

so lots of applications can get by on 2 nodes as the tiny latencies on each pass (if it even needs a second or third pass) are entirely negligible.

larher networks would benefit from more nodes. Daisy chaining nsocs would let you run heaps of networks at once or really large networks..

hope this clarifies.

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Back to school for me?

Thought it was 80 npu's in the fabric and that was 16 npu per node. Five nodes per chip

16 x 5 = 80

2 nodes for Renesas could do plenty

BRN Price at posting: 46.0¢ Sentiment: Buy Disclosure: Held
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