React/Django/Postgres on AWS for APIs and websites. Terraform to manage the infrastructure. cortex.dev for serving some ML models, AWS Lambda for serving others. ML models are all PyTorch at the moment, with RDKit doing the chemistry heavy lifting. Data obtained through various means, including some tools from nextmovesoftware.com
There's a bunch more tech involved in supporting the scientists in the COVID moonshot, but that's basically everything ML-related.
Any particular part of the stack you were curious about?
To clarify, I mean indirectly the power consumption. I guess this will become an important point of discussion soon-ish, as we get more and more electric cars and ML stuff in them.
My view is, if your car uses electrons, and some of those are for compute, and you just offload the compute to the cloud, you haven't actually reduced the total electricity consumption.
Similarly here, the total "footprint" of the car is increased by adding this feature.
I struggle with finding food that fits my plans that isn't boring and monotonous. To that end, this seems like a useful endeavor, though I'm not sure if it's all the way there.
I searched through the site and still couldn't find a demo hosted anywhere. The idea of making paged media a more pleasant in-browser experience sounds neat, but the lack of examples is troubling.