Image and video generation
Image and video models are compute-hungry per output and often run as batch jobs or interactive services. The key is throughput per dollar and enough memory for large frames.
What matters most
Memory for resolution
Higher resolutions and longer video clips need more VRAM. Video in particular can be memory-bound.
Throughput
Batch generation rewards GPUs that finish many outputs per hour, so compare cost per output, not just per GPU-hour.
Elasticity
Demand is spiky. Scaling up for a render and back down again saves money.
Storage and egress
Generated media is large. Moving it out of a provider can add real cost.
A typical setup
Single-GPU or few-GPU nodes are common. Choose by VRAM headroom for your target resolution.
How it is usually bought
On-demand for bursts, reserved or committed for steady production, and spot for offline batch renders that can be retried.
Common mistakes
- Picking a GPU by peak FLOPS without checking VRAM for your resolution.
- Ignoring egress on large media outputs.
- Paying for always-on capacity for spiky demand.
Terms to know
This is general guidance, not a recommendation for a specific provider or price. Check current offerings and confirm availability and terms with the provider.
Ready to look at real options?
See tracked offerings with their sources and dates, or ask Kova to size it for you.