Cerebrium vs LanceDB
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.
Open-source vector database with embedded deployment for RAG and semantic search; Lance columnar format with multimodal support for text, image, and video embeddings.
About
LanceDB is an open-source vector database purpose-built for AI applications, offering serverless vector storage with embedded deployment, multimodal data support (text, images, video, audio), and native integration with popular AI development frameworks. Founded in 2022 and headquartered in San Francisco, LanceDB raised $10 million in seed funding and has gained significant traction among AI developers building retrieval-augmented generation (RAG) systems, semantic search applications, and multimodal AI pipelines.
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