VVDN make Edge Boxes for Nvidia and Qualcomm. The Nvidia box uses Jetson. I believe it is the TX2.
As far as a competition with Nvidia’s Edge Box goes built on the Jetson TX2 the winner has already been announced by Tata Consulting Services and Brainchip:
1. TCS has published that “We design and train a CNN and convert it into SNN using the CNN2SNN conversion toolkit of Brainchip Akida neuromorphic platform. We achieve 95.46% accuracy while power consumption and latency are at least 35x and 3.4x more efficient respectively in stage-1 (and 230x & 7x in stage-2) compared to the equivalent CNN running on Jetson TX2.”
2. Brainchip has stated it will be a smaller slimlined Edge Box than the existing offerings from VVDN. So wins on size unless you believe size does matter.
3. AKD1000 has been priced at $AU25.00 on multiple occasions by Anil Mankar, Peter van der Made and Mr. Dinardo. Simon Thorpe formerly on the Brainchip Scientific Advisory Board has a number of papers where he suggested a price of about $10.00. Suffice to say it would be under $30.00.
4. Nvidia Jetson TX2 is significantly more expensive:
View attachment 50331
5. AKD1000 can be scaled to 64 chips so even if you added a couple of extra to up the processing power it will fall well short of $AU 100.00.
6. Assuming that the metal box and accessories required to build the Boxes will be comparable and the additional costs will be approximately the same.
On any measure therefore an AKIDA VVDN EDGE Box has already won the contest with Nvidia.
My opinion only DYOR
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