The end-to-end platform
for GPU inference.
Cumulus Labs owns the whole inference stack: Paladin orchestrates the GPU fleet, Ion serves models at hardware speed, and Talos puts that inference to work as agents inside the enterprise.
Make production inference
a configuration choice.
Teams should not have to stitch together a scheduler, a serving stack, and an automation layer from different vendors to ship on GPUs. Cumulus exists so the fleet, the engine, and the agents are one platform — and the engineers who would have built that plumbing can build the product instead.
Three layers.
One stack.
Unified GPU orchestration. One control plane for every GPU you own or rent.
Proprietary inference engine. Custom kernels, cold starts in seconds.
Enterprise agents. Permissioned, auditable, inside the tools you already run.
Backed by
Y Combinator (W26)
Selected for the Winter 2026 batch — building alongside the world-class founders defining the next decade of AI infrastructure.
NVIDIA Inception
Member of NVIDIA's program for the highest-leverage startups working at the frontier of AI and accelerated compute.
Founded by alumni from
Engineers and operators out of defense, finance, and the institutions that built modern GPU compute.
What we believe
Speed is a Feature
Every millisecond of inference latency multiplies across every user, every request. We optimize the runtime itself.
Own the Stack
Real performance comes from controlling every layer — the scheduler, the kernels, and the agents that consume them.
Auditable by Default
Every scheduling decision and every agent action is logged, attributable, and reversible. No black boxes in production.