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TensorFire is up to an order of magnitude faster than keras-js because it doesn't have to shuffle data back and forth between the gpu and cpu. Also TensorFire can run on browsers and devices that don't support OES_TEXTURE_FLOAT.

We will probably release it under an MIT license.

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I'm really interested in using Smartphones / Mobile devices for inference. Can this work with react-native so that I can build it without a bridge ? I would assume I would create a webview that would load a local website.

How does it compare to WebDNN[0]? It seems like a closer comparison, especially with WebGPU.

It would be good if you had a comparative benchmark on the website.

[0]: https://mil-tokyo.github.io/webdnn/

At the moment WebDNN only runs models on the GPU in Safari Technology Preview, falling back to CPU on all other platforms / browsers: https://mil-tokyo.github.io/webdnn/#compatibility

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