In the case of Facebook, the company says data may hang around until the URL in question is reused, which is usually " after a short period of time." Though obviously that time can vary considerably.
Like before, instead of going back all the way to RAM to save that value, it can be stored in cached copy, which is faster to save to, and also faster to access later if more calculations are needed.
I know that the last so we run IPv6 internally for a lot of the routing from from our edge service, we are our architecture base as edge caches that sit in front of our origin servers for DNS.
If you want a dedicated deployment, there are also ways to, for example, keep the instances warm and cache the images on the node, or ways to make sure the model loads into memory faster.
You want to have some basic programming skills, but then you're going to dive into key concepts like reward modeling, supervised fine-tuning, mixture of experts layers, RMS, norm, rope, KV caching and more.