Accelerating AI innovation
CoreWeave presents its purpose-built, end-to-end AI platform designed to manage complex AI workloads from training to inference. The stack integrates specialized foundational infrastructure (high-density GPU clusters, high-speed interconnects) with advanced software layers, including CoreWeave AI Object Storage (using LOTA) and CoreWeave Kubernetes Service (CKS). Operational control is unified through Mission Control™, providing observability and management across the entire lifecycle, from model development (W&B) to deployment.
Key takeaways
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Purpose-Built Infrastructure
1:50
CoreWeave manages data centers optimized specifically for high-density GPUs and high-speed interconnects, scaling across multiple regions. The bare metal infrastructure is managed via Kubernetes, supplemented by services like Slurm for cluster management.
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Low-Latency Storage Solution
4:00
The CoreWeave AI Object Storage solution utilizes the Local Object Transport Accelerator (LOTA). Each GPU node runs a LOTA proxy, which caches the object storage across the cluster, achieving throughput of up to 7 GB/s per GPU.
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Unified Operational Control
6:20
Mission Control™ unifies security, observability, and talent services into a single pane of glass, providing real-time visibility into job state, cluster health, and performance signals, helping teams diagnose issues proactively.
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Accelerated Development Lifecycle
7:10
The platform integrates W&B Models at the top layer, shortening the path to production by providing integrated experiment tracking, governance, and workflow tooling for model and agent development.