How To Get Ahead In Edge AI With Shunya
Edge AI has been a new wave of AI ever since the Cloud AI because of the capabilities it provides embedded devices. But for Edge AI to be a reality there has been very few startups/companies in the whole world that have developed a OS for the purpose of running an AI on edge.
Let’s talk about Shunya
Shunya is a Low-Code light O/s for IoT with integrated AI. It is an operating system designed specifically to run AI on embedded devices. It enables these edge devices to not just analyze or gather or send the data but also to perform certain AI tasks on them and simultaneously learn from that data. Shunya provides the embedded deices with the ability to perform Vision and Voice tasks, making efficient usage of the computing power of those devices efficiently.
How can Shunya help you win in the domain of Edge AI?
Google, Nvidia and other companies have also set their foot in Edge AI but the truth about them is the resources provided by them for having the adge ai capability isn’t easily accessible to let’s say if I requested them to give access to me or any startup would want those goods they have.
For instance let’s talk about Google. They have TPU’s that they use for doing some of the edge AI stuff which has been created for their library — Tensorflow. Well, the problem with TPU’s is that it’s in their Cloud and again that’s a proprietary thing of Google and they won’t give it out to anyone like “Hey Jim, here, have our TPUs”.
But, Shunya isn’t Google in this regards and they would in-fact allow startups and businesses to do application development using their boards and the software stack i.e, Shunya AIoT. The reason why Shunya helps win startups and wins is, Shunya knows that for AI, ARM processors are the ideal choice and for that Shunya has a very valuable piece of hardware that very few companies in the world have and you’re seeing it right here, it is the Kirin 970 chip.
Shunya offers the benefits VERY few offer
- ShunyaOS is geared towards supports other IoT/AI hardware product startups innovate faster.
- Fast POC and MVP development at a lower cost — this is where Shunya has an edge over other players in the market.
- Low-Code/No-Code platform.
- Most of the vendors offer application development but, that takes them quite an amount of time — 2 months approximately. But with Shunya, it would take very less time because it allows you to use it’s built-in APIs to develop any feature/application.
- At a very small footprint you can run AI even without internet even on a small embedded device.
Only for Startups? Nothing for the general public?
No, Shunya apart from a deep tech, an operating system, a startup itself, is more than just catering to startups and businesses. Matter of fact, Shunya encourages the general public to come check it out and not only that, it would also like you to meet it’s makers and the brains behind Shunya. Here is how you can get to know more about Shunya and it’s makers
- Shunya :- http://shunyaos.org/
- The brains behind Shunya :- http://iotiot.in/
That said, here’s few more things I always feel excited when talking about Shunya
Shunya can put around 100,000 faces onto a small embedded computer and if you were to put 100,000 faces onto a small device, how much space do you think would Shunya take? Shunya would take some Kb’s !
How much space of your main memory do you think Shunya would take? Shunya would require a mere 14Mb’s of your main memory.
There’s more interesting things about Shunya but, I would like to keep the surprise for you and would like to encourage you get i touch with Shunya and to try these links.
https://share.hsforms.com/1pxEQDdYzR6Wc4dkClmugZA48dwm
- Shunya:- http://shunyaos.org/
- Brains behind Shunya:- http://iotiot.in/
- Facebook Page:- https://www.facebook.com/iotiot.in/
- Youtube Channel:-https://www.youtube.com/channel/UC8E7r1XT_90HoPB2jWr4q9w
- Instagram:- https://www.instagram.com/iotiot.in/?hl=en
- Follow on Twitter:- https://twitter.com/iotiot_in?lang=en
#ShunyaOS #aiot #ai on edge #iotiot.in #open source
