Running on NVIDIA ORIN

Very cool, the first runs of our library models on NVIDIA ORIN form start to end using our managed deployment platform:

One of the core values of our edge AI middleware — which allows for effortless managed deployment of any AI model to any of our supported devices — is to abstract away from the hardware targets of an edge AI solution such that solution builders can focus on the value of their solution (as opposed to spending time and frustration on moving their model to their targeted hardware).

A recent addition to the edge AI accelerator landscape is the amazing NVIDIA ORIN. The ORIN is fast and highly energy efficient. And, the ORIN is available in a number of platforms by OEMS that we intimately partner with.

We are now happy (and proud) to provide ORIN support for our Edge AI Middleware. What does this mean? Well, it means that installing our AI manager on an ORIN supported devices will automatically detect ORIN, install a version of our middleware that supports ORIN, and we will make sure that your full AI pipeline is deployed as efficiently as possible to your new ORIN device. Pretty cool no?

So, if you are changing between an earlier NVIDIA GPU and moving to ORIN, and if you are struggling to redo your pipeline on your newly targeted edge device, please do book a demo with us to see how our edge AI middleware can make live easier and provide over the air managed deployment of your full AI pipeline. If you are an OEM integrating NVIDIA ORIN in your platform, please do see our support packages and reach out if you want to be added to our supported devices.

We will have a larger release of the ORIN integration soon, but for now please know that we are up and running!


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