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Vast.ai Alternatives for Video Generation

Video diffusion, where a single clip can occupy a large card for minutes at a time.

What video generation actually needs

48 GB+
VRAM floor
Rarely
Multi-GPU
Not really
Survives losing the box
Matters a lot
Environment persistence

Why people look past Vast.ai for this

Model weights here are the largest of any of these jobs, so a cold box is expensive in wall-clock before it renders a single frame. That is exactly the gap Vast.ai does not close: Vast.ai is usually the cheapest raw dollar-per-hour on the market, because hosts bid against each other and you absorb the variance in reliability. The honest framing is not us-versus-them on price: it is whether the environment you build survives the box it was built on.

To be fair, Vast.ai's real strength is real: Raw price. A host-bid marketplace with interruptible instances will beat brokered on-demand capacity on the low end, and that is by design.

Live rates for the GPUs video generation wants

GPUFrom (per GPU/hr)Providers
H100$2.197
RTX 5090$0.6923
L40S$0.8695
A100$1.174

Live per-GPU rates from Aquanode's marketplace. Refreshes hourly.

How you run it here today

Run it today as a Pod: the console's own image workload card preselects the right template for this job.

Restoring an environment requires a snapshot that already exists. Stopping a deployment yourself captures it on the way out, so you can bring it back later on any provider. A provider-side termination is different: it is only recoverable if you had already switched automated snapshots on for that deployment, and it costs you the work since the last one. Automated snapshots are opt-in, nothing runs until you start it, and with none running there is nothing to restore.

More alternatives pages

Video Generation alternatives to other clouds

Related reading: H100 pricing and specs, The best GPUs for AI, ranked, and Best GPU for LLM inference.

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