Demo

How it works

Choose a sample model or upload your own model.

We compile the model and run it on the selected target hardware.

We share the key results with you: latency and peak memory in comparison to industry standard (TensorFlow Lite and TorchInductor).

please Choose

sample model

own model

Select a sample model

Hardware input

Check your target hardware

Raspberry Pi 5 CPU

Raspberry Pi 5 GPU

Nvidia Jetson

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Where should we send the results?

Please see our Privacy Policy.

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Thanks for submitting the form. Let us do the magic and we will come back to you as soon as possible.

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Choose model

Check if llm

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File size: <100 MB
File type: .tflite, .pt, .pth, .onnx

Roofline declares to not reuse, reverse engineer, or steal any of your information or your model, and will not sell or provide any data to third parties without your approval.

model input

arg_0

arg_1

arg_3

arg_4

arg_5

Click to add another argument

Hardware input

Check your target hardware

Raspberry Pi 5 CPU

Raspberry Pi 5 GPU

Nvidia Jetson

back

Where should we send the results?

Please see our Privacy Policy.

back

Thanks for submitting the form. Let us do the magic and we will come back to you as soon as possible.

back to the demo page

Oops! Something went wrong while submitting the form.

DEPLOY NOW.
FLEXIBLE.EFFICIENT.EASY.

How it works

please Choose

model input

Hardware input

You're all set!

Choose model

Model Requirements

model input

Hardware input

You're all set!

See next-gen deployment in action

DEPLOY NOW.FLEXIBLE.EFFICIENT.EASY.

How it works

please Choose

model input

Hardware input

You're all set!

Choose model

Model Requirements

model input

Hardware input

You're all set!

See next-gen deployment in action

DEPLOY NOW.
FLEXIBLE.EFFICIENT.EASY.