LIVINGSTON, NJ and REDWOOD CITY, CA, Oct 31, 2025 – CoreWeave is expanding its AI and data cloud capabilities with the acquisition of Marimo, developer of an open-source Python notebook platform. Under the agreement, Marimo’s technology will be integrated into the CoreWeave cloud to enhance its cloud-hosted notebook offering. The move will give developers an environment covering the AI lifecycle – training, inference, data movement, and iteration. By combining Marimo’s development tools with CoreWeave’s infrastructure, the company aims to help developers build, scale, and deploy AI applications.
CoreWeave and Marimo will support developers using AI and data. Marimo’s marimo notebook, provides a reproducible, Git-integrated programming environment that supports workflows from experimentation to deployment. Through the acquisition, Marimo will join CoreWeave’s ecosystem and extend the company’s Weights & Biases developer platform. The combined tools will help developers build, test, and deploy AI applications.
“This is about supporting the open-source community and unlocking the pace of innovation that modern AI demands,” said Brian Venturo, co-founder and chief strategy officer of CoreWeave. “CoreWeave is creating the most complete environment for AI development, from prototype to production, and with Marimo as part of our platform we are giving builders the tools to iterate faster and deploy smarter across every stage of the AI lifecycle.”
“We created marimo because we believed that Python developers deserved a dramatically better programming environment for working with data – one that blended the best parts of interactive computing with the reusability and reproducibility of traditional software,” said Akshay Agrawal, co-founder and chief executive officer of Marimo. “Joining CoreWeave lets us double down on that vision and execute on it at an even greater scale. Our shared goal is to build the world’s best programming environment for AI and data work.”
CoreWeave will continue to develop Marimo’s open-source project and its features. The marimo notebook will remain available for free, with future updates shaped by community input. Together, CoreWeave and Marimo plan to build a programming environment for AI and data workloads.
The acquisition follows CoreWeave’s purchase of OpenPipe, which added reinforcement learning tools to its AI cloud. In May’25, CoreWeave acquired Weights & Biases to combine compute and MLOps capabilities to speed AI model development and deployment. CoreWeave also announced its intent to acquire Monolith AI.
Source: CoreWeave
About CoreWeave
CoreWeave, established in 2017 and headquartered in Roseland, NJ, specializes in providing cloud-based GPU infrastructure tailored for AI and machine learning workloads. The company operates 32 United States and Europe data centers with over 250,000 GPUs, primarily sourced from NVIDIA. It serves clients in AI development, financial modeling, healthcare, and media production. In 2024, CoreWeave reported revenues of $1.92 billion, reflecting a significant increase in demand for AI-optimized cloud services. As of December 2024, CoreWeave employs approximately 823 individuals globally. The company’s client base includes major technology firms, with Microsoft accounting for 62% of its 2024 revenue.
About Marimo
Marimo, founded in 2022, develops an open-source Python notebook designed for data scientists and developers. Its main product, the Marimo notebook, allows users to transform data, train machine learning models, run SQL queries, and build applications within a version-controlled environment. The platform supports reproducible workflows, making it suitable for data science, software engineering, research, and education. Marimo serves industries that rely on Python for analytics, modeling, and computational research. Headquartered in Redwood City, CA, the company focuses on improving collaboration and productivity in coding and data analysis. Backed by about $5M in seed funding, Marimo continues to grow its user base through open-source contributions and integrations with modern data tools.