uawy 1 Hey everyone,
I’ve been looking at providers like RunPod, Vast.ai, Lambda Labs, and a few others, and every time I need GPU capacity I end up spending way too much time comparing them. Prices change, availability changes, and it’s hard to know which providers are actually reliable in practice.
I’m working on a tool that recommends a provider based on your specific use case (model, workload, region, priorities, etc.) instead of just showing a list of prices.
Before I invest more time into it, I’d love to hear how people are handling this today: Which provider are you currently using, and what made you choose it? Do you regularly switch providers, or mostly stick with one? What’s the most frustrating part of choosing a GPU cloud provider?
Any real-world experiences would be super helpful. Thanks!
I had the same problem, so I ended up building something around it.
With Orchard Compute, I just connect it through MCP and describe what I need in one sentence. It can provision the compute and set up the training environment without me manually checking different GPU providers every time.
Still early, but that’s the workflow I’m trying to get to.
Would love to hear your feedback! orchardagentic.cloud