3 ms·
Looks like 1/10 of TOPS and 1/3 of mem bandwidth of Jetson Orin Nano (the TI chip seems able to run 3733MT/s at 32 bit, so 15GB/s) but much cheaper.
by mmoskal 3y ago
Looks like 1/10 of TOPS and 1/3 of mem bandwidth of Jetson Orin Nano (the TI chip seems able to run 3733MT/s at 32 bit, so 15GB/s) but much cheaper.
- Alupis 3y agoFor reference: - BeagleY-AI - 4 TOPs - $72.00 - BeagleBone AI-64 - 8 TOPs - $187.50 - Jetson Orin Nano Dev Kit - 40 TOPs - $499.95 The 20 TOPs Jetson Orin Nano seems to only be available in a commercial module, not in a dev kit. The commercial module is priced at $259.00.
- phlipski 3y agoKeep in mind that once you've prototyped a product on the BeagleY-AI board - you can actually BUY the TI AM62A74 chips in volume for ~ $25. Good luck sourcing the SoC on that Jetson Orin Nano board...
- reaperman 3y agoThe 5-year old Google Coral Edge TPU does 4 TOPS for $40-130. Comparing exact features, the $70 BeagleY-AI probably most directly compares to Coral's $130 option. https://coral.ai/products/ https://coral.ai/products/ https://www.aliexpress.us/item/3256806327903926.html?src=google&aff_fcid=f349642bbd2b4929abf62d2bcaee5733-1710095245201-07681-UneMJZVf&aff_fsk=UneMJZVf&aff_platform=aaf&sk=UneMJZVf&aff_trace_key=f349642bbd2b4929abf62d2bcaee5733-1710095245201-07681-UneMJZVf&terminal_id=8b34d788ea6d40939f9e0056c00383e3&afSmartRedirect=y&gatewayAdapt=glo2usa https://www.aliexpress.us/item/3256806327903926.html?src=goo...
- Aurornis 3y agoYou can buy a full desktop GPU for the price of a Jetson Orin dev board. Not really a good comparison point for a $70 SBC.
- imtringued 3y agoA full desktop GPU would drain your battery and take up too much space so it is inferior in almost every aspect for the use cases that the Jetson Orin is built.
- KeplerBoy 3y agoTalk about Laptops with dedicated GPUs, that's the most Tops/Watt you're going to get without any of the software stack problems. Probably the solution to look for if you need >30 Watts of compute.
- moffkalast 3y agoThe Orin boards can do what a desktop GPU can do while drawing 10-20x less power. At the cost of terrible software support and hardly any memory bandwidth.