Cerebrium vs Wasabi
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.
Cloud object storage at 80% less than AWS S3 with no egress fees; S3-compatible platform serving 50K+ customers in media, backup, and AI data storage workloads.
About
Wasabi Technologies is a cloud object storage company providing hot cloud storage at approximately 80% less cost than Amazon S3, competing on price, performance, and simplicity for customers who need to store and access large volumes of data in the cloud. Founded in 2015 in Boston, Massachusetts by David Friend and Jeff Flowers (both serial entrepreneurs who previously founded Carbonite), Wasabi has raised approximately $500 million and positioned itself as the lowest-cost alternative to AWS S3, Google Cloud Storage, and Azure Blob Storage for high-volume data storage needs.
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