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CoreWeave: US-CENTRAL-08A Data Center

CoreWeave US-CENTRAL-08A Data Center is located at North Dakota, United States. The gross building size for this location has not been provided. The gross colocation space is not available for this data center. No power information has been offered for this location. We found 1 data center location within 50 miles of this facility. No certifications are specified for this location.
Technologies
IaaS

About US-CENTRAL-08A Data Center

CoreWeave US-CENTRAL-08A Data Center is a CoreWeave AI cloud infrastructure region serving GPU-accelerated compute workloads in the central United States. The region supports enterprise AI, machine learning, inference, rendering, model training, Kubernetes deployments, and high-performance computing environments using CoreWeave’s cloud-native GPU platform. US-CENTRAL-08A is part of CoreWeave’s broader global infrastructure footprint spanning North America and Europe.

The region is designed around accelerated compute infrastructure optimized for AI and GPU-intensive applications. CoreWeave’s platform supports Kubernetes-native orchestration, virtual servers, AI clusters, storage, networking, and large-scale parallel compute deployments. The provider positions its infrastructure for generative AI, LLM training, scientific computing, visual effects rendering, and enterprise AI inference workloads.

US-CENTRAL-08A operates as a cloud region rather than a publicly documented colocation facility. CoreWeave’s platform architecture emphasizes low-latency networking, scalable GPU infrastructure, automation, and API-driven deployment models. The region supports customers requiring centrally located U.S. compute infrastructure with access to CoreWeave’s managed AI cloud ecosystem.

🏢 Facility Highlights

  1. Provider: CoreWeave
  2. Region Name: US-CENTRAL-08A
  3. Infrastructure Type: AI cloud and GPU compute region
  4. Platform Focus: AI, machine learning, inference, rendering, and HPC
  5. Deployment Model: Kubernetes-native cloud infrastructure
  6. Service Scope: GPU compute, storage, networking, orchestration, and AI workloads

🌐 Connectivity & Carrier Access

  1. Cloud Platform: API-driven GPU cloud infrastructure
  2. Deployment Model: Kubernetes-native orchestration
  3. Network Position: Central U.S. AI compute region
  4. Workload Access: Multi-region cloud deployment support

🧠 AI Infrastructure

  1. Primary Workloads: Generative AI, LLM training, inference, rendering, and HPC
  2. Compute Model: GPU-accelerated cloud infrastructure
  3. Platform Design: Scalable AI cluster architecture
  4. Application Support: Enterprise AI and high-performance compute environments

🏭 Who It Serves

  1. AI Developers: Model training and inference workloads
  2. Enterprise IT: GPU-accelerated compute deployments
  3. Research Organizations: HPC and scientific computing
  4. Media & Rendering: Visual effects and rendering infrastructure