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Cumulus Labs

Cumulus Labs is a YC Winter 2026 (W26) company. Based in San Francisco, CA, USA. Team of 2.

About Cumulus Labs

GPAgent's own fund-neutral profile, written from public information. Updated Oct 4, 2026.

Summary

Cumulus Labs builds a full-stack AI inference platform for teams running fine-tuned and open-source models. Its three products cover GPU orchestration (Paladin), multimodal inference for text, vision, and audio (Ion), and agent fine-tuning and evaluation (Talos). The platform replaces the choice between self-managed GPU infrastructure and expensive hosted providers by handling orchestration, kernel optimization, and deployment in one place.

Business model

API access to hosted models plus dedicated deployments on Cumulus GPUs or customer hardware.

Go-to-market

AI engineering teams at B2B companies are the buyers; they can start via self-serve API access or book a demo for dedicated deployment.

From the Y Combinator listing

How Cumulus Labs describes itself in Y Combinator's public directory.

The Fastest Multimodal Inference OS

Cumulus Labs is a fast multimodal inference provider, purpose-built for AI teams who want faster performance, lower costs, and zero infrastructure work on fine-tuned & open source models. Most teams today are stuck choosing between bad options. Self-hosting inference means wrestling with configurations and babysitting infrastructure that slows/breaks at scale. Big providers like Fireworks are convenient but extremely expensive and idle GPUs. Cumulus ships Ion, a proprietary inference engine that run LLMs, VLMs, and audio/video gen with high performance and lower cost.

Facts

Industry
B2B / B2B -> Infrastructure
Location
San Francisco, CA, USA
Team size
2
Status
Active
Stage
Early

Founders (2)

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