Tested 6 GPU Clouds: Babysitting is the Business Model for Training
legendpizzasenpai · reddit · 2026-07-22
Frustrated by being billed for dead GPU pods at 3 AM, the author evaluated six major GPU rental platforms, revealing a stark gap in fault tolerance and recovery mechanisms.
- Cheap Tier (RunPod, Vast, Lambda): Great prices, but you are the entire reliability department. If a node dies, the meter keeps running while you sleep.
- SDK Platforms (Modal, Tinker): Offer self-healing fleets, but require rewriting training code into their SDK or limit users to lightweight tasks like LoRA.
- Enterprise Tier (Together, AWS HyperPod): Feature real checkpoint recovery, but either require manual approval for repairs or are gated behind enterprise budgets.
The author points out that while underlying tools like Hugging Face and Axolotl already support saving optimizer and scheduler states, no cloud provider wraps this into a seamless loop of auto-swapping GPUs and resuming without billing for downtime. The reason? Dead time is pure margin for incumbents.
Related event: Deep Dive into 6 GPU Cloud Platforms Reveals Fragmented Reliability(2 posts)→
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