Cumulus Labs› offers Cumulus Inference Platform

Cumulus Inference Platform targets engineering teams running latency-sensitive, high-volume multimodal inference in production. It serves as a drop-in replacement for standard model APIs: developers change the base URL while keeping their existing client code.

The platform consolidates eight subsystems behind one endpoint. The gateway translates any provider, the router applies declared per-workflow rules that pick model, provider, and fallback chain deterministically, and the cache stack cuts input tokens through exact-match, prefix, and optional semantic caches. Observability logs every request for replay and audit, evaluation runs synthetic data and LLM judges against production traffic in shadow, and Ion uses custom attention kernels on NVIDIA Grace and Blackwell systems to outperform stock serving stacks.