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COREWEAVE
The cloud for AI, built on Kubernetes
Apache-2.0
ABOUT
General-purpose cloud providers optimize for web workloads (bursty, short-lived, low-bandwidth), making them inefficient and expensive for continuous GPU-intensive AI training and inference. CoreWeave solves this by building cloud infrastructure specifically for compute — with dense GPU packing, high-bandwidth interconnects, Kubernetes-native orchestration, and competitive pricing. Teams can provision GPU clusters in minutes using familiar Kubernetes tooling without fighting provider quotas or paying for unused CPU overhead.
INTEGRATION GUIDE
1. Train large language and diffusion models on H100 and A100 clusters with InfiniBand interconnects
2. Serve production LLM inference with Kubernetes GPU autoscaling and competitive pricing
3. Run high-throughput batch rendering and 3D simulation workloads across hundreds of GPUs
4. Deploy and scale ML model serving endpoints using standard Kubernetes manifests
5. Offload compute-intensive CI/CD pipelines for AI products to purpose-built GPU infrastructure
TAGS
gpucloudkubernetesinfrastructuretraininginferenceh100mlops