CoreWeave
A specialized cloud provider built entirely around GPU infrastructure for AI workloads, offering NVIDIA GPU clusters at scale to AI companies and enterprises.
CoreWeave has raised over $12 billion in equity and debt financing, making it one of the best-funded AI infrastructure companies. The company operates tens of thousands of NVIDIA GPUs across multiple data centers. Microsoft signed a $10 billion, multi-year contract with CoreWeave for AI cloud capacity. The company pivoted from cryptocurrency mining to AI cloud services in 2022. CoreWeave represents the growing demand for specialized GPU cloud infrastructure that hyperscalers cannot fully satisfy due to supply constraints.
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Related Terms
AI Compute
The computational resources — primarily GPU and TPU processing power — required to train and run AI models, typically measured in FLOP (floating-point operations) or GPU-hours.
Capex (Capital Expenditure)
Long-term investment spending by companies on physical assets like data centers, GPU clusters, and networking infrastructure — the backbone of AI deployment at scale.
Data Center
A facility housing computer systems and infrastructure used to process, store, and distribute data — increasingly built specifically for AI training and inference workloads.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
Frontier Model
The most capable and advanced AI models at any given time, typically trained with the largest compute budgets and achieving state-of-the-art performance on benchmarks.
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