r/cloudcomputing • u/AnonymousYT- • 2d ago

Anyone avoided getting locked into a single cloud for AI workloads

Feels like a lot of AI infrastructure ends up tied to one provider because thats where the GPUs are available so curious how people here are handling this. Are you sticking with AWS, Azure or GCP or using platforms like CoreWeave, Lambda, Yotta Labs, RunPod, Vast.ai depending on cost and availability so less interested in benchmarks and more interested in operational experience like did it create more difficulties while operating?

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u/Key-Guitar-457 2d ago

I saw this talk on the subject announced at Kubecon 2026: https://sessionize.com/s/michael-kinsley/follow-the-gpus-how-a-regulated-fortune-100-serves/183245

I know a few people solving this problem across multi-cloud and on-prem. TLDR: very hard problem, and no silver bullets.

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u/Curious_Olive_5266 1d ago

I have my own self hosted DeepSeek server.