Frequently Asked Questions (FAQ) 
(If you have any questions or problem and you can’t find the answer here or in the documentation, feel free to send an e-mail to [email protected] )

Q: The press release says PyTorch and Scikit-learn support. Does this mean general support?
A: Our API offers a scikit-learn interface, as well as a PyTorch one. To see how you can use them you can check out the examples. (OFFER LINK FOR THE EXAMPLES)

Q: Is it going to be as easy as changing from CPU to GPU?
A: With LightOn Cloud you have access to a CPU, a GPU and LightOn’s OPU. A simple function call allows computations to be performed on LightOn OPU.

Q: How is the IP treated for algorithms running on your systems? 
A: Any algorithm running on LightOn Cloud is the property of the user. LightOn makes no claim whatsoever on the IP generated by users while using LightOn Cloud. For details please refer to the LightOn Cloud Terms & Conditions

Q: Do you have documentation of your API somewhere ?
A: Yes, we do. It is here.

Q: Is it possible to combine GPU and OPU calculations?
A: One can combine GPU and OPU computation in the same way as GPU and CPU: by running a part of the computations on the GPU and a part on the OPU. Note that the operation performed by the OPU is not differentiable though.

Q: What sort of computation can be performed using the OPUs?
A: Examples and papers using LightOn’s OPU are listed in the Deeper Insight section of « Our Technology ».