fal.ai vs Zettabyte

Production endpoints for image, video and audio models billed by output unit (per image, per megapixel, per second or per video)

Run private models on dedicated NVIDIA GPUs with autoscaling and scale-to-zero

Inference engines tuned for diffusion and audio workloads

Launch GPU instances quickly and scale to hundreds on-demand.

Designed for large-scale training with predictable capacity.

Custom clusters tailored for specific security and procurement needs.

Utilizes a bid/ask system to ensure optimal pricing on GPU resources.

Ensures 99.9% uptime SLA with transparent incident reporting.