Cerebrium vs Infracost
Side-by-side comparison of AI visibility scores, market position, and capabilities
NY serverless AI inference platform delivering 40% cost savings scaling to 10K+ requests/minute; $9M Google Gradient Ventures seed competing with Modal and Replicate for AI model hosting infrastructure.
About
Cerebrium is a New York-based serverless cloud infrastructure platform for AI workloads — backed with $9 million raised including an $8.5 million seed round led by Google Gradient Ventures in July 2025 — providing a compute layer where AI companies can deploy, scale, and run AI models (LLMs, speech models, image generation, custom fine-tuned models) at 40% lower cost than AWS and GCP while auto-scaling from zero to 10,000+ requests per minute. Founded in 2021 by Michael Louis and Jonathan Irwin with a lean 4-person engineering team, Cerebrium serves notable AI companies including Tavus, CivitAI, Twilio, and Deepgram with millions in ARR.
SF cloud infrastructure cost management for engineers showing AWS/GCP costs in pull requests before deployment; YC W21 $17.2M at 3,500 companies including 10% of Fortune 500 competing with CloudHealth for FinOps.
About
Infracost is a San Francisco-based cloud cost management platform — backed by Y Combinator (W21) with $17.2 million raised including a $15 million Series A led by Pruven Capital with Insight Partners in November 2025 — providing engineers with real-time infrastructure cost visibility during the development workflow, surfacing estimated cloud costs directly in pull requests before code is merged to production. Serving 3,500+ companies including 10% of the Fortune 500, Infracost integrates with Terraform and infrastructure-as-code workflows to calculate and display the monthly cost impact of infrastructure changes at the point in the workflow where engineers can still make cost-aware decisions.
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