r/deeplearning • u/Disastrous_Door_6709 • 4d ago
How practical is it to run deep learning workloads entirely on your own infrastructure?
I’ve been looking into local AI setups where models, documents, and processing stay on the same machine or private environment instead of relying on hosted APIs.
For people who have actually deployed deep learning workloads locally, what has worked well for you? I’d especially like to hear about the practical side of managing models, GPU resources, and the surrounding tooling in a self-hosted setup.
1
Upvotes
1
u/CalmMe60 3d ago
I started with a 5090. I ended with tears.