fal.ai vs Jarvis Labs

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

Get access to powerful GPUs instantly with zero setup complexity

Boot templates in 1.8 seconds or VMs in under 90 seconds

Pay-as-you-go with per-minute billing and no upfront commitments

Comprehensive command-line and Python SDK with agent integration for Claude Code, Cursor, and other AI coding agents

Scale up to 8 GPUs per instance for demanding workloads

Easy pause, resume, and delete functionality for cost optimization