Company Overview
CoreWeave was founded in 2017 as Atlantic Crypto, initially focused on cryptocurrency mining, and rebranded to CoreWeave in 2021 to pivot entirely to specialized GPU cloud services. Headquartered in Roseland, New Jersey, CoreWeave is one of the fastest-growing AI infrastructure providers, delivering GPU-accelerated cloud services for AI training and inference, machine learning, and high-performance computing (HPC). CoreWeave operates large-scale NVIDIA GPU clusters, including H100 and A100 accelerators, offering superior cost efficiency and performance density for AI-native enterprises.
Related providers: CoreWeave GPU Cloud
Product Portfolio
βοΈ CoreWeave Cloud (GPU Compute Platform)
| Product | Description |
|---|---|
| CoreWeave Cloud | On-demand GPU compute instances supporting NVIDIA H100, A100, RTX series, billed per second |
| CoreWeave Virtual Servers | Virtual server instances suitable for general compute and lightweight AI workloads |
| CoreWeave Storage | High-performance network file storage (NFS), optimized for AI training data pipelines and model checkpoints |
𧩠Container & Orchestration
| Product | Description |
|---|---|
| CoreWeave Kubernetes | Managed Kubernetes clusters with built-in GPU scheduling and auto-scaling, simplifying AI workload deployment |
| CoreWeave Networking | High-performance virtual networking with VPC, load balancing, and inter-GPU high-speed connectivity |
π€ AI Inference & Deployment
| Product | Description |
|---|---|
| CoreWeave Inference | GPU platform optimized for AI inference, supporting model deployment, auto-scaling, and API gateway |
| CoreWeave Object Storage | S3-compatible object storage suitable for model weight files and dataset storage |
Core Strengths
GPU-Native Focus: Born from crypto mining with deep understanding of GPU hardware and scheduling β not a side business of a general-purpose cloud provider
Extreme Cost Efficiency: No legacy overhead of traditional cloud providers, GPU compute costs 60-80% lower than AWS, Azure, and GCP
Deep NVIDIA Partnership: As an NVIDIA preferred partner, first to receive large-scale supply of latest GPUs (H100, etc.)
AI-Native Architecture: End-to-end optimization for AI training and inference across networking and storage, avoiding the performance compromises of general-purpose clouds
Cloud-Native Orchestration: Kubernetes-based GPU scheduling supporting elastic deployment and auto-scaling of containerized AI workloads
Key Milestones
- 2017: Founded as Atlantic Crypto, focused on cryptocurrency mining, building expertise in large-scale GPU operations
- 2021: Rebranded to CoreWeave, fully pivoting to GPU cloud for AI and HPC
- 2022: Closes Series A funding, begins building NVIDIA H100 GPU clusters
- 2023: Raises $421M Series B at $2B+ valuation, rapidly expanding data center infrastructure
- 2024: Launches CoreWeave Kubernetes and CoreWeave Inference; completes $1.1B Series C at $19B valuation
- 2025: Continues global GPU data center expansion, serving large model training customers
- 2026: Grows into one of the world's largest GPU cloud providers, with deep partnerships across major AI enterprises
Market Position
CoreWeave is rapidly disrupting the specialized GPU cloud and AI infrastructure market, competing with the following providers:
- AWS β AWS offers EC2 P5/P4 GPU instances, direct competitor in AI training and inference
- Google Cloud β GCP provides Cloud TPU and A3 GPU instances, competitive in AI workloads
- Azure β Azure offers ND-series GPU VMs, exclusive cloud provider for OpenAI
- Lambda Labs β Specialized GPU cloud provider, direct competitor in AI training and inference
- Paperspace β GPU cloud and MLOps platform targeting AI developers and data scientists
- Vast.ai β GPU compute sharing and rental marketplace featuring low-cost C2C GPU trading
- RunPod β GPU cloud platform focused on AI inference with Serverless GPU functions
