fal.ai vs Lyceum

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

API access to open-source models with pay-per-token pricing.

Reserved GPU capacity for production models ensuring low latency and high availability.

Run training jobs on GPUs without the need for infrastructure management.

Full root access to customizable GPU instances ready in seconds.

Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.