Cumulus Inference Platform differentiates by integrating eight inference subsystems into one platform, replacing point vendors for routing, observability, evaluation, fine-tuning, and inference.

Its Ion engine uses custom attention kernels on NVIDIA Grace and Blackwell systems to outperform stock vLLM and SGLang, while declared routing rules replace fragile hand-written failover logic.

Cumulus Inference Platform consolidates gateway, router, semantic cache, observability, evaluation, LoRA fine-tuning, custom hosting, and the Ion inference engine behind one OpenAI-compatible API. It is designed as a drop-in replacement for standard model APIs.

The platform targets engineering teams running latency-sensitive, high-volume multimodal inference in production, with Ion running custom attention kernels on NVIDIA Grace and Blackwell systems.