How Jungle Grid handles the messy parts of GPU orchestration so you don't have to.

If you've spent any time running AI workloads — inference, training, batch jobs — you've lived the frustration. You pick a provider. You guess a GPU. The VRAM doesn't quite fit, or the node is sluggish, or the region is overloaded. You find out twenty minutes into the run, not at submission time. Then you start over somewhere else. It's not a skill issue. It's a systems problem. GPU capacity is fragmented across a dozen providers, each with their own hardware naming conventions, regional availab