All three of the big cloud providers have a solution for ML model deployment and support more libraries than just Fast.AI. What are some of the reasons one would use Deepserve.ai vs. the other cloud providers?
This is really neat though. The fact that this is so easy to use will be a big appeal to a lot of data scientists who don't want to write production code or deal with lots of bootstrap configuration. There are also a lot of benefits of abstracting the deployment as you can seamlessly add a lot of features like logging, or even make performance improvements by tweaking a few env vars and everyone will get it by default! Thanks for sharing.
This is really neat though. The fact that this is so easy to use will be a big appeal to a lot of data scientists who don't want to write production code or deal with lots of bootstrap configuration. There are also a lot of benefits of abstracting the deployment as you can seamlessly add a lot of features like logging, or even make performance improvements by tweaking a few env vars and everyone will get it by default! Thanks for sharing.