fal.ai vs Gonka

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

Developers send requests through an OpenAI-compatible endpoint and pay for usage in GNK

A transformer-based proof-of-work mechanism aims to direct nearly all participating hardware at AI inference rather than at separate security computation

GPU owners register as hosts, post collateral, run ML nodes, and are rewarded based on the amount and quality of compute they contribute

Documented bootstrap procedures for hosting models such as DeepSeek, Kimi, and MiniMax across the network

Developers can run their own gateway and broker setup instead of relying on a shared entry point

Ethereum bridge and IBC routes for moving GNK and USDT in and out of the network