What GPU cloud is best for short training runs?

For short training runs, the “best” GPU cloud is usually the one that gives you:

1. Fast startup time
2. Good hourly pricing with minimal waste
3. Easy access to preemptible/spot GPUs
4. Simple data upload/download

Best options by use case

• RunPod — Often the best overall for short jobs if you want cheap, on-demand GPUs and don’t need a big enterprise setup. Good balance of price and convenience.
• Vast.ai — Usually the cheapest option, especially for short, cost-sensitive runs. Tradeoff: quality and reliability can vary by provider.
• Lambda Cloud — Good if you want a more polished experience and fairly straightforward pricing. Often a solid middle ground.
• AWS/GCP/Azure spot instances — Best if you already use a major cloud and want integration, but can be more annoying to set up and sometimes pricier for small short jobs.
• Paperspace / CoreWeave / Genesis Cloud — Can be good depending on region and GPU availability, but the best choice changes a lot by current pricing.

Practical recommendation

• If you want lowest cost: Vast.ai
• If you want best mix of price + ease: RunPod
• If you want more stable/polished service: Lambda Cloud
• If you need enterprise integration/compliance: AWS/GCP/Azure

For very short runs

If your training jobs are only a few minutes to an hour, the most important factor is often startup overhead. In that case:

• Use persistent images
• Keep your code and data ready in object storage
• Prefer platforms with fast instance provisioning
• Avoid services with long VM boot/setup times

If you want, I can also give you a ranked list by cheapest / fastest to start / best for PyTorch training.