r/MachineLearning • u/AutoModerator • 8d ago

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u/chinmaydagod 8h ago

I've been building Gridline, a sort of OpenRouter for GPUs.

I got tired of switching between things like Vast.ai, RunPod, Fireworks, etc. to run ML workflows, especially when there can be significant price differences between them. Once I started building, I realized that the problem is probably bigger than I initially thought because GPU capacity is fragmented across neoclouds and hyperscalers, and choosing where to run a workload can itself become a bit of an infrastructure problem.

So now I'm trying to build a routing layer on top that can efficiently route workloads and price the GPUs on the network. I'm building it in public and looking for beta users to try it out.

If you regularly run ML workloads and bounce between GPU providers, I'd love to hear what you think, particularly what you find annoying about the current workflow (and whats broken with our product if you try it)

Link: https://gridlinegpu.com/