[tdba]

Thank you for the kind words! Just to clarify, the core technology here is free and open source, anyone can use it right now for free. We do have commercialization plans in addition - we may explore things like additional paid features for enterprise use or paid tiers of extra support.

Regarding LSTMs, yes. We're aiming to support all machine learning model architectures: do you have any particular models you're interested in that we should be prototyping with?

For CGRAs, we don't have any immediate plans to explicitly support them. What kind of use case do you have in mind? Generally, any platform that can implement a blob of generated RTL should be something we can work with quite easily.

[balsam]

I am guessing some kind of vivado replacement is in the works? As it stands now your product seems to be fully offline+CLI - pretty please just tell me how you can get revenue from that?!

That said, I am going to get a PYNQ-Z2 just to try this out! Btw, quick glance at the tutorial says Z1.. can I assume Z2 would be barely an inconvenience?

[tdba]

Yes, Pynq Z2 should work just as well (it's the exact same FPGA, just a slightly different board). We've been testing with Z1 which is why I recommended it in the tutorial.

For commercialization, the core technology will always be free and open source, but we plan to offer a “pro” version with extra enterprise features under a dual license arrangement, similar to Gitlab. We are also working on a cloud service for running our tools in a hosted setup, in which you’ll be able to run a search across all possible Tensil architectures to automatically find the best FPGA for your model. I'd love to hear your feedback on these plans!