fal.ai vs Genesis Cloud

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

End-to-end machine learning platforms with high reliability and scalability

35x more performance for LLMs, GenAI, and large multi-node trainings

AI workloads under EU regulations with enhanced security

100% green energy powered data centers with low PUE

End-to-end AI platform with ClearML integration for experiment tracking, data versioning, and pipeline orchestration

Inference Service API for running models without managing GPU instances directly