That is the backup plan, yes.  I got a pocketbeagle waiting to fill that 
slot if needed.  Hoping it's not.  :)

On Wednesday, March 20, 2019 at 6:51:11 AM UTC-4, [email protected] wrote:
>
> Theoretically, if you want to use it mainly for the vision and machine 
> learning part, you can implement HALTALK stack on it and have the actual 
> Machinekit-HAL running on something else (BBB for example).
>
> Cern.
>
> Dne středa 20. března 2019 3:57:18 UTC+1 Daren Schwenke napsal(a):
>>
>> I guess unless some of you work for Nvidia, someone having one already is 
>> pretty unlikely.
>> Arrow shows 16 weeks.  Sparkfun doesn't have a date.  SeedStudio shows 
>> Apr 12th!
>> Here's hoping...
>> Anyone figured out what monumental tasks would have to take place to run 
>> on Ubuntu 18.04/LTS kernel 4.9 anyway?
>>
>> On Tuesday, March 19, 2019 at 10:08:40 PM UTC-4, Daren Schwenke wrote:
>>>
>>> I just got a little bit excited as a powerful machine vision platform in 
>>> a small and relatively inexpensive form factor just happened.
>>> 128 Cuda cores...
>>> It even has a Pi camera slot onboard. 
>>> Ok... a lot excited..
>>>
>>>
>>> https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/
>>>
>>> This would be *absolutely perfect* for running OpenCV with the P1 
>>> <https://hackaday.io/project/45404>.
>>>
>>> Now the question becomes... how would one go about getting Machinekit 
>>> running on this?
>>> I know it has 40 pins of gpio and onboard ethernet.
>>> I will design a daughterboard for it.
>>>
>>> Anyone got one already to try it out?  
>>> Supposedly it runs a variant of Ubuntu 18.04 LTS with LTS kernel 4.9.
>>>
>>>
>>>

-- 
website: http://www.machinekit.io blog: http://blog.machinekit.io github: 
https://github.com/machinekit
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