Cumulus Labs is a Y Combinator-backed startup building serverless GPU infrastructure for AI inference. They offer the fastest cold starts in the industry at 12.5 seconds, enabling developers to deploy any AI model with automatic scaling and pay-per-compute pricing.
The fastest serverless GPU cloud with 12.5-second cold starts—4x faster than competitors—enabling teams to deploy any AI model, scale to zero, and pay only for actual compute used
AI Visibility Score
Cumulus Labs has an AI visibility score of 0/100, rated as invisible. This score reflects how often and how prominently Cumulus Labs appears in responses from AI assistants like ChatGPT, Claude, and Gemini.
AI Perception Summary
Cumulus Labs exists in a state of 'functional invisibility,' where AI models can identify the brand in isolation but refuse to recommend it for any high-intent technical solutions. While competitors like Modal and Replicate are cited dozens of times for GPU scaling and infrastructure needs, Cumulus Labs is completely excluded from the decision-making loop despite having an established digital footprint.
Strengths
- Brand recognition exists in Claude and AI Overviews, where the brand ranks #1 for direct identity-based queries, suggesting a clean baseline index for the company name.
- The brand is correctly categorized within the Cloud and AI Infrastructure space by major LLMs, even if it lacks performance-based associations.
Visibility Gaps
- Total absence in the 'Optimizing Model Latency and Cold Starts' category, where zero mentions were recorded across 13 high-intent queries.
- Zero penetration into the 'Bootstrapped Startup CTO' and 'Enterprise ML Platform Architect' personas, leaving the brand vulnerable to competitors like Modal and AWS Lambda who dominate these conversations.
- Failure to appear in any 'Serverless GPU' or 'Private GPU Management' recommendation threads, which are the primary entry points for the brand's target customers.
Competitors in AI Recommendations
- Modal: 27 mentions
- Kubernetes: 24 mentions
- Replicate: 21 mentions
- AWS Lambda: 14 mentions
- Runpod: 14 mentions
- KEDA: 12 mentions
- Baseten: 12 mentions
- Ray: 11 mentions
- vLLM: 11 mentions
- KNative: 10 mentions
- NVIDIA: 9 mentions
- BentoML: 9 mentions
- Lambda Labs: 9 mentions
- AWS SageMaker: 9 mentions
- Prometheus: 9 mentions
Categories: Cloud Computing & AI Infrastructure
Tags: YC25-26