CoreWeave, Inc.
Acquisitions
5
Major Deals Covered
$10.7B
Disclosed Deal Value
CoreWeave's largest disclosed acquisition here is Core Scientific (terminated) for $9B in 2025. This page covers 5 major deals from 2023 to 2025, each with its price where disclosed and the reason behind it.
| Company | Year | Price | Purpose |
|---|---|---|---|
| Weights & Biases | 2025 | $1.7B | Add an AI developer platform for experiment tracking, evaluation and model management. |
| OpenPipe | 2025 | Undisclosed | Add reinforcement learning tools for training AI agents. |
| Monolith AI | 2025 | Undisclosed | Expand into AI and machine learning applications for physics and industrial engineering. |
| Core Scientific (terminated) | 2025 | $9.0B | All-stock deal to own data center capacity CoreWeave was leasing. |
| Conductor Technologies | 2023 | Undisclosed | Cloud rendering and visual effects workflow software. |
2025
$1.7B
Add an AI developer platform for experiment tracking, evaluation and model management.
Moved CoreWeave beyond raw compute into software used by AI developers.
Completed in 2025; value reported at about $1.7 billion.
2025
Add reinforcement learning tools for training AI agents.
2025
Expand into AI and machine learning applications for physics and industrial engineering.
2025
$9.0B
All-stock deal to own data center capacity CoreWeave was leasing.
Rejected by Core Scientific shareholders in October 2025; not completed.
2023
Cloud rendering and visual effects workflow software.
Value not disclosed.
CoreWeave grows by signing large multi-year contracts first and then financing and building the capacity to serve them. In 2025-2026 it expanded deals with OpenAI (initially about $11.9 billion over five years, later enlarged), Meta (including a $21 billion expansion announced in April 2026) and Anthropic, and broadened its enterprise base with customers such as Caterpillar, Bentley Systems and Databricks. It is also moving up the stack through acquisitions and products for inference, storage and model training.
CoreWeave makes money by renting GPU compute, plus storage, networking and software, to AI developers. Most revenue comes from multi-year committed contracts in which a customer reserves a dedicated cluster and pays for it whether or not it is fully used; a smaller share is on-demand usage. CoreWeave funds GPU purchases and data center build-outs largely with debt, often secured by the GPUs and by the customer contracts themselves, so its economics depend on the spread between contract pricing and the cost of capital, power and depreciation. Since 2025 it has added software layers through acquisitions such as Weights & Biases (developer tools), OpenPipe (reinforcement learning) and Monolith AI (industrial AI).
In January 2023, CoreWeave acquired Conductor Technologies, a premier cloud-based rendering and visual effects management platform. The acquisition integrated Conductor's software directly into CoreWeave's cloud, enabling Hollywood studios and digital animators to smoothly offload compute workloads onto CoreWeave GPUs.
CoreWeave pursues highly strategic, targeted software acquisitions that enhance its developer platform, rendering pipelines, cluster virtualization, and AI workload scheduling, while investing the vast majority of its capital into physical data centers and GPU hardware.
CoreWeave has selectively acqui-hired specialized software engineering teams and open-source contributors focused on Kubernetes custom resource definitions (CRDs), Slurm schedulers, and distributed high-performance storage systems.
Rather than purchasing raw land and building data center shells from scratch, CoreWeave partners with premier digital infrastructure REITs and developers (such as Digital Realty, CyrusOne, and Switch), leasing powered shell facilities to deploy its proprietary liquid-cooled GPU racks rapidly.
CoreWeave evaluates potential M&A targets based on proprietary technology in model optimization, automated checkpointing, distributed GPU memory management, and enterprise security compliance that make its cloud stickier for AI engineers.
CoreWeave develops its core cluster architecture and orchestration software internally while actively collaborating with open-source communities, contributing back to projects like Kubernetes, PyTorch, and vLLM.
CoreWeave allocates over 90% of its capital directly into securing next-generation GPU silicon (Nvidia Blackwell B200/GB200) and power capacity, where capital deployment directly translates into contracted recurring revenue.
Nvidia's strategic equity participation provides CoreWeave with early technical roadmaps, hardware specifications, and software libraries (CUDA, TensorRT, NeMo), eliminating the need for expensive hardware-related acquisitions.
Nvidia does not own them, but Nvidia is a massive, highly strategic investor. Furthermore, Microsoft famously signed a multi-billion-dollar contract to use CoreWeave's infrastructure because even Microsoft didn't have enough GPUs to power OpenAI.
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