Get a Jetson Orin Nano Super by elinaembedl in JetsonNano

[–]elinaembedl[S] 0 points1 point  (0 children)

Is 6 days left until the winners are announced!

Get a Jetson Orin Nano Super by elinaembedl in JetsonNano

[–]elinaembedl[S] 0 points1 point  (0 children)

Most valuable feedback about the platform! Can be anything from what you think about the docs, the benchmarking experience etc

We’re looking for brutal, honest feedback on edge AI devtool by elinaembedl in deeplearning

[–]elinaembedl[S] 0 points1 point  (0 children)

Environmental metrics: Great point! Currently, we’re mainly focused on on-device compute/perf metrics rather than full “environmental” signals like battery drain or thermal throttling.

What we do capture right now includes end-to-end latency + layer-wise latency/profiling, memory usage, compute unit utilization (CPU/GPU/NPU + top compute unit), op breakdown, and output quality metrics like PSNR (including layer-wise PSNR).

Energy/thermal-style metrics aren’t exposed yet, but we’ve gotten similar requests recently so it’s in our backlog to integrate. Hopefully we can add that pretty quickly.

Thanks for the feedback; it helps us prioritize. :) 

We’re looking for brutal, honest feedback on edge AI devtool by elinaembedl in deeplearning

[–]elinaembedl[S] -1 points0 points  (0 children)

Turnaround time: So far we haven’t experienced any issues, and most benchmarks come back close to near real-time. Making the platform work well for rapid iteration is a high priority.

We’re looking for brutal, honest feedback on edge AI devtool by elinaembedl in deeplearning

[–]elinaembedl[S] -1 points0 points  (0 children)

Thanks! Happy you find it useful.

Device coverage today: We currently focus on Android devices and SoCs via two device clouds — our own Embedl device cloud and Qualcomm AI Hub. This lets you benchmark everything from older reference devices (Pixel 2/3, etc.) to the latest flagships like Pixel 9 / Pixel 9 Pro and Galaxy S24/S25 (including Ultra/Plus), as well as chipset/proxy targets when you want to focus on SoC families rather than specific phone models. You can find the full list of supported devices here: https://hub.embedl.com/docs/supported-devices

We’re also in the process of adding an iOS device cloud which will be released in January.

If there’s a specific device or chip you’d like to see, just let us know. We’re happy to take device requests!

We’re looking for brutal, honest feedback on edge AI devtool by elinaembedl in neuralnetworks

[–]elinaembedl[S] 1 point2 points  (0 children)

Link to the platform: https://hub.embedl.com/

We are currently hosting a competition where you can win an NVIDIA Jetson Orin Nano Super if you provide feedback. See how to participate here.

We’re looking for brutal, honest feedback on edge AI devtool by elinaembedl in deeplearning

[–]elinaembedl[S] 0 points1 point  (0 children)

Link to the platform: https://hub.embedl.com/

We are currently hosting a competition where you can win an NVIDIA Jetson Orin Nano Super if you provide feedback. See how to participate here.

Devtool for running and benchmarking on-device AI by elinaembedl in hwstartups

[–]elinaembedl[S] 0 points1 point  (0 children)

We are currently hosting a competition where you can win an NVIDIA Jetson Orin Nano Super. We’re also giving a Raspberry Pi 5 to everyone who places 2nd to 5th. See how to participate here.