Burst Computing Across Thousands of GPUs in the Cloud | CoreWeave

This post introduces and elaborates on 'Burst Compute' as a core capability for scaling workloads across thousands of GPUs instantly. It details how CoreWeave's Kubernetes-native infrastructure, leveraging components like Knative, Keda, and Argo Workflows, enables rapid auto-scaling for inference, batch processing, and rendering. Key technical enablers highlighted include container image caching and specialized schedulers, which contribute to spin-up times as low as 5 seconds. The post also emphasizes the cost-efficiency and practical access to scale provided by this model, contrasting it with legacy cloud infrastructure limitations.